From 8045fdc52eda7b6b36265249962deb3ab6dc8bf9 Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Fri, 11 Jun 2021 08:12:11 -0400 Subject: [PATCH 01/10] HuggingFace Transformers integ: folder structure, recipes --- .../uni_80sparse_freq0.01_18prune10fine.md | 97 ++++++ ...80sparse_freq0.01_18prune10fine_6layers.md | 105 +++++++ .../uni_90sparse_freq0.01_18prune10fine.md | 95 ++++++ ...90sparse_freq0.01_18prune10fine_6layers.md | 105 +++++++ .../uni_95sparse_freq0.01_18prune10fine.md | 96 ++++++ ...95sparse_freq0.01_18prune10fine_6layers.md | 105 +++++++ .../sparsifying_bert_using_recipes.md | 288 ++++++++++++++++++ 7 files changed, 891 insertions(+) create mode 100644 integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md create mode 100644 integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md create mode 100644 integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md create mode 100644 integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md create mode 100644 integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md create mode 100644 integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md create mode 100644 integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md diff --git a/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md b/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md new file mode 100644 index 00000000000..caf834a9d24 --- /dev/null +++ b/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md @@ -0,0 +1,97 @@ + + +--- +# General variables +num_epochs: &num_epochs 30 + +# pruning hyperparameters +init_sparsity: &init_sparsity 0.00 +final_sparsity: &final_sparsity 0.80 +pruning_start_epoch: &pruning_start_epoch 2 +pruning_end_epoch: &pruning_end_epoch 20 +update_frequency: &pruning_update_frequency 0.01 + + +# modifiers: +training_modifiers: + - !EpochRangeModifier + end_epoch: 30 + start_epoch: 0.0 + +pruning_modifiers: + - !GMPruningModifier + params: + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + start_epoch: *pruning_start_epoch + end_epoch: *pruning_end_epoch + init_sparsity: *init_sparsity + final_sparsity: *final_sparsity + inter_func: cubic + update_frequency: *pruning_update_frequency + leave_enabled: True + mask_type: unstructured + log_types: __ALL__ +--- + +# Bert model with pruned encoder layers + +This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 80% sparsity. It was used together with knowledge distillation to create sparse model that achives 100% recovery from its baseline accuracy on the Squad dataset. +Training was done using 1 GPU at half precision using a training batch size of 16 with the +[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). + +## Weights and Biases + +- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) + +## Training + +To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). +Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. + +*training command* +``` +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse80 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ../recipes/uni_80sparse_freq0.01_18prune10fine.md \ + --onnx_export_path MODELS_DIR/sparse80/onnx \ + --report_to wandb +``` diff --git a/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md b/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md new file mode 100644 index 00000000000..7e81ed98059 --- /dev/null +++ b/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md @@ -0,0 +1,105 @@ + + +--- +# General variables +num_epochs: &num_epochs 30 + +# pruning hyperparameters +init_sparsity: &init_sparsity 0.00 +final_sparsity: &final_sparsity 0.80 +pruning_start_epoch: &pruning_start_epoch 2 +pruning_end_epoch: &pruning_end_epoch 20 +update_frequency: &pruning_update_frequency 0.01 + +# modifiers: +training_modifiers: + - !EpochRangeModifier + end_epoch: 30 + start_epoch: 0.0 + +pruning_modifiers: + - !GMPruningModifier + params: + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + start_epoch: *pruning_start_epoch + end_epoch: *pruning_end_epoch + init_sparsity: *init_sparsity + final_sparsity: *final_sparsity + inter_func: cubic + update_frequency: *pruning_update_frequency + leave_enabled: True + mask_type: unstructured + log_types: __ALL__ + + - !LayerPruningModifier + layers: + - bert.encoder.layer.1 + - bert.encoder.layer.3 + - bert.encoder.layer.5 + - bert.encoder.layer.7 + - bert.encoder.layer.9 + - bert.encoder.layer.10 +--- + +# Bert model with dropped and pruned encoder layers + +This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 80% sparsity. It was used together with knowledge distillation to create sparse model that achives 97% recovery from its (teacher) baseline accuracy on the Squad dataset. +Training was done using 1 GPU at half precision using a training batch size of 16 with the +[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). + +## Weights and Biases + +- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) + +## Training + +To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). +Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. + +*training command* +``` +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse80_6layers \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ../recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md \ + --onnx_export_path MODELS_DIR/sparse80_6layers/onnx \ + --report_to wandb +``` diff --git a/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md b/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md new file mode 100644 index 00000000000..0518ee0dcec --- /dev/null +++ b/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md @@ -0,0 +1,95 @@ + + +--- +# General variables +num_epochs: &num_epochs 30 + +# pruning hyperparameters +init_sparsity: &init_sparsity 0.00 +final_sparsity: &final_sparsity 0.90 +pruning_start_epoch: &pruning_start_epoch 2 +pruning_end_epoch: &pruning_end_epoch 20 +update_frequency: &pruning_update_frequency 0.01 + +# modifiers: +training_modifiers: + - !EpochRangeModifier + end_epoch: 30 + start_epoch: 0.0 + +pruning_modifiers: + - !GMPruningModifier + params: + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + start_epoch: *pruning_start_epoch + end_epoch: *pruning_end_epoch + init_sparsity: *init_sparsity + final_sparsity: *final_sparsity + inter_func: cubic + update_frequency: *pruning_update_frequency + leave_enabled: True + mask_type: unstructured + log_types: __ALL__ +--- +# Bert model with pruned encoder layers + +This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achives 98.4% recovery from its baseline accuracy on the Squad dataset. +Training was done using 1 GPU at half precision using a training batch size of 16 with the +[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). + +## Weights and Biases + +- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) + +## Training + +To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). +Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. + +*training command* +``` +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse90 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ../recipes/uni_90sparse_freq0.01_18prune10fine.md \ + --onnx_export_path MODELS_DIR/sparse90/onnx \ + --report_to wandb +``` diff --git a/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md b/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md new file mode 100644 index 00000000000..12ace7a668c --- /dev/null +++ b/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md @@ -0,0 +1,105 @@ + + +--- +# General Epoch/LR variables +num_epochs: &num_epochs 30 + +# pruning hyperparameters +init_sparsity: &init_sparsity 0.00 +final_sparsity: &final_sparsity 0.90 +pruning_start_epoch: &pruning_start_epoch 2 +pruning_end_epoch: &pruning_end_epoch 20 +update_frequency: &pruning_update_frequency 0.01 + +# modifiers: +training_modifiers: + - !EpochRangeModifier + end_epoch: 30 + start_epoch: 0.0 + +pruning_modifiers: + - !GMPruningModifier + params: + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + start_epoch: *pruning_start_epoch + end_epoch: *pruning_end_epoch + init_sparsity: *init_sparsity + final_sparsity: *final_sparsity + inter_func: cubic + update_frequency: *pruning_update_frequency + leave_enabled: True + mask_type: unstructured + log_types: __ALL__ + + - !LayerPruningModifier + layers: + - bert.encoder.layer.1 + - bert.encoder.layer.3 + - bert.encoder.layer.5 + - bert.encoder.layer.7 + - bert.encoder.layer.9 + - bert.encoder.layer.10 +--- + +# Bert model with dropped and pruned encoder layers + +This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achives 94.5% recovery from its (teacher) baseline accuracy on the Squad dataset. +Training was done using 1 GPU at half precision using a training batch size of 16 with the +[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). + +## Weights and Biases + +- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) + +## Training + +To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). +Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. + +*training command* +``` +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse90_6layers \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ../recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md \ + --onnx_export_path MODELS_DIR/sparse90_6layers/onnx \ + --report_to wandb +``` diff --git a/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md b/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md new file mode 100644 index 00000000000..65fd9a7c121 --- /dev/null +++ b/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md @@ -0,0 +1,96 @@ + + +--- +# General variables +num_epochs: &num_epochs 30 + +# pruning hyperparameters +init_sparsity: &init_sparsity 0.00 +final_sparsity: &final_sparsity 0.95 +pruning_start_epoch: &pruning_start_epoch 2 +pruning_end_epoch: &pruning_end_epoch 20 +update_frequency: &pruning_update_frequency 0.01 + +# modifiers: +training_modifiers: + - !EpochRangeModifier + end_epoch: 30 + start_epoch: 0.0 + +pruning_modifiers: + - !GMPruningModifier + params: + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + start_epoch: *pruning_start_epoch + end_epoch: *pruning_end_epoch + init_sparsity: *init_sparsity + final_sparsity: *final_sparsity + inter_func: cubic + update_frequency: *pruning_update_frequency + leave_enabled: True + mask_type: unstructured + log_types: __ALL__ +--- + +# Bert model with pruned encoder layers + +This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 94.7% recovery from its baseline accuracy on the Squad dataset. +Training was done using 1 GPU at half precision using a training batch size of 16 with the +[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). + +## Weights and Biases + +- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) + +## Training + +To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). +Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. + +*training command* +``` +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse95 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ../recipes/uni_95sparse_freq0.01_18prune10fine.md \ + --onnx_export_path MODELS_DIR/sparse95/onnx \ + --report_to wandb +``` diff --git a/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md b/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md new file mode 100644 index 00000000000..a7291986147 --- /dev/null +++ b/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md @@ -0,0 +1,105 @@ + + +--- +# General Epoch/LR variables +num_epochs: &num_epochs 30 + +# pruning hyperparameters +init_sparsity: &init_sparsity 0.00 +final_sparsity: &final_sparsity 0.95 +pruning_start_epoch: &pruning_start_epoch 2 +pruning_end_epoch: &pruning_end_epoch 20 +update_frequency: &pruning_update_frequency 0.01 + +# modifiers: +training_modifiers: + - !EpochRangeModifier + end_epoch: 30 + start_epoch: 0.0 + +pruning_modifiers: + - !GMPruningModifier + params: + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight + - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + start_epoch: *pruning_start_epoch + end_epoch: *pruning_end_epoch + init_sparsity: *init_sparsity + final_sparsity: *final_sparsity + inter_func: cubic + update_frequency: *pruning_update_frequency + leave_enabled: True + mask_type: unstructured + log_types: __ALL__ + + - !LayerPruningModifier + layers: + - bert.encoder.layer.1 + - bert.encoder.layer.3 + - bert.encoder.layer.5 + - bert.encoder.layer.7 + - bert.encoder.layer.9 + - bert.encoder.layer.10 +--- + +# Bert model with dropped and pruned encoder layers + +This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 90% recovery from its (teacher) baseline accuracy on the Squad dataset. +Training was done using 1 GPU at half precision using a training batch size of 16 with the +[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). + +## Weights and Biases + +- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) + +## Training + +To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). +Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. + +*training command* +``` +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse95_6layers \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ../recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md \ + --onnx_export_path MODELS_DIR/sparse95_6layers/onnx \ + --report_to wandb +``` diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md new file mode 100644 index 00000000000..4655458a32c --- /dev/null +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -0,0 +1,288 @@ + + +# Sparsifying Bert Model Using Recipes + +Introduction about transformers, then Bert (and it's getting into production -- AI 2021 Index report) +Then say that these models are getting bigger, creating challenges for deployment etc +One remedy is model sparsification, lots of interest here (cite eg Ganesh 2020, movement pruning) + +Then this tutorial walks the readers through how to sparify a pretrained Bert model on Squad dataset + +Also say the results listed in this tutorial are available publicly through a Wandb project + +(Where to mention distillation?) + +## Set up + +Following the installation in the readme, you should have a virtual environment with + +## Creating a Pretrained Teacher Model + + +Before applying one of the pruning recipes, you first create a pretrained model on the Squad dataset. + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 3e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/teacher \ + --cache_dir cache \ + --preprocessing_num_workers 8 \ + --fp16 \ + --seed 92 \ + --num_train_epochs 2 \ + --warmup_steps 5400 \ + --save_steps 1000 \ + --save_total_limit 2 + --report_to wandb +``` + +If the command runs successfully, you should have a model folder called `teacher` in the provided model directory `MODELS_DIR`. + +## Applying Pruning Recipes + + + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --teacher_model_name_or_path MODELS_DIR/teacher \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --fp16 \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/sparse80 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --seed 42 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --temperature 2.0 \ + --save_steps 1000 \ + --save_total_limit 2 \ + --recipe ./recipes/sparse80.yaml.md \ + --onnx_export_path MODELS_DIR/sparse80/onnx \ + --report_to wandb +``` + +### Pruning and dropping layers + + + +Before applying one of the recipes, we must first create the pre-trained model to sparsify further. +The pre-trained model enables pruning and other algorithms to remove the correct redundant information in place of random information. +Our goal after this is to create a smaller, faster model that recovers to our pre-trained baseline. + +### Setting Up the Data + +If using your custom data, the Ultralytics repo contains a walk-through for [training custom data](https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data). +Otherwise, setup scripts for both [VOC](https://cs.stanford.edu/~roozbeh/pascal-context/) and [COCO](https://cocodataset.org/#home) can be found under the [yolov3/data/scripts path](https://github.com/ultralytics/yolov3/tree/master/data/scripts). + +For this tutorial, we run the VOC setup script with the following command from the root of the yolov3 repository: +```bash +bash data/scripts/get_voc.sh +``` +Download and validation of the VOC dataset will begin and takes around 10 minutes to finish. +The script downloads the VOC dataset into a `VOC` folder under the parent directory. +Once completed, the data is ready for training with the folder structure in the following state: +``` +|-- VOC +| |-- images +| | |-- train +| | `-- val +| `-- labels +| |-- train +| `-- val +|-- yolov3 +| |-- data +| |-- models +| |-- utils +| |-- weights +| |-- Dockerfile +| |-- LICENSE +| |-- README.md +| |-- detect.py +| |-- hubconf.py +| |-- requirements.txt +| |-- test.py +| |-- train.py +| `-- tutorial.ipynb +``` + +### Training the Model + +To expedite the training process, we transfer learn from weights initially trained on the COCO dataset. +These are stored in the SparseZoo and can be accessed with the following Python code: +```python +from sparsezoo import Zoo + +model = Zoo.load_model_from_stub("zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/base-none") +checkpoint_path = model.framework_files[0].downloaded_path() +print(checkpoint_path) +``` + +After running, the code has downloaded the checkpoint file to the local system: +```bash +downloading...: 100%|██████████| 126342273/126342273 [00:04<00:00, 28306365.97it/s] +/Users/markkurtz/.cache/sparsezoo/16fe8358-2e91-4b81-a1f2-df85bd1a9ac3/pytorch/model.pth +``` + +Next, the checkpoint file provides the source weights for training on VOC using the following train command run from within the yolov3 repository folder: +```bash +python train.py --weights PATH_TO_COCO_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --epochs 50 +``` + +The training command will take a few hours to complete (~3 hours for a titan RTX). +Afterward, we'll have a model that achieves roughly 0.85 mAP on the VOC dataset ready for sparsifying. + +The training command creates a `runs` directory under the yolov3 repository directory. +This directory will contain the outputs from the training run, including experimental results along with the trained model: +``` +|-- VOC +|-- data +|-- models +|-- recipes +|-- tutorials +|-- yolov3 +| |-- data +| |-- models +| |-- runs +| | `-- train +| | |-- exp +| | | |-- weights +| | | | |-- best.pt +| | | | `-- last.pt +| | | |-- F1_curve.png +| | | |-- PR_curve.png +| | | |-- P_curve.png +| | | |-- R_curve.png +| | | |-- confusion_matrix.png +| | | `-- ... +| |-- train.py +| `-- ... +|-- README.md +`-- setup_integration.sh +``` + +Now we are ready to use the weights at `yolov3/runs/train/exp/weights/best.pt` with our recipes to create sparsified models! + +## Applying a Recipe + +In general, recipes trade off the amount of recovery to the baseline training performance with the amount of sparsification for inference performance. +The [`recipes` folder](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes) contains multiple files, each offering certain advantages over others. +Below we walk through each to compare these tradeoffs and show how to run them on the VOC dataset. + +To begin applying one of the recipes, we use the `--recipe` argument within the Ultralytics [train script](https://github.com/neuralmagic/yolov3/blob/master/train.py). +In addition, the hyperparameters are changed slightly to better work with the recipe. +These hyperparameters are stored in appropriately named files under the [`data` directory](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/data) and are passed into the training script using the `--hyp` argument. +Both of the arguments are combined with our previous training command and VOC pre-trained weights to run the recipes over the model. +The recipes, commands, and results are all listed in the table below. + +| Recipe Name | Description | Train Command | VOC mAP@0.5 | Size on Disk | DeepSparse Performance** | Training Epochs (time) | Weights and Biases | +|----------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------|--------------|--------------------------|------------------------|--------------------------------------------------------------------------| +| Baseline | The baseline, pretrained model originally transfer learned onto the VOC dataset. | ``` python train.py --weights PATH_TO_COCO_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --epochs 50 ``` | 0.857 | 194 MB | 19.5 img/sec | 50 (3.21 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/261llnb1) | +| [Pruned](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned.md) | Creates a highly sparse, FP32 model that recovers close to the baseline model. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned.yaml --recipe ../recipes/yolov3-spp.pruned.md ``` | 0.858 | 33.6 MB | 34.0 img/sec | 300 (20.45 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/2jeadrts) | +| [Pruned Short](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned.short.md) | Creates a highly sparse, FP32 model in a shortened schedule to prioritize quicker training while sacrificing a bit on recovery. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned.yaml --recipe ../recipes/yolov3-spp.pruned.short.md ``` | 0.854 | 33.6 MB | 34.0 img/sec | 80 (5.53 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/jktw650n) | +| [Pruned Quantized](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned_quantized.md) | Creates a highly sparse, INT8 model that recovers reasonably close to the baseline model. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned_quantized.yaml --recipe ../recipes/yolov3-spp.pruned_quantized.md ``` | 0.827 | 13.4 MB | 90.4 img/sec | 242 (18.32 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/2dfy3rgs) | +| [Pruned Quantized Short](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned_quantized.short.md) | Creates a highly sparse, INT8 model in a shortened schedule to prioritize quicker training while sacrificing a bit on recovery. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned_quantized.yaml --recipe ../recipes/yolov3-spp.pruned_quantized.short.md ``` | 0.808 | 13.4 MB | 90.4 img/sec | 52 (4.23 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/1picfimy) | +| [Test](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.test.md) | A test recipe to test the training pipeline and device for both pruning and quantization in 5 epochs. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned_quantized.yaml --recipe ../recipes/yolov3-spp.test.md ``` | 0.702 | 13.4 MB | 90.4 img/sec | 5 (17 minutes) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/3bkw6c60) | + +** DeepSparse Performance measured on an aws C5 instance with 24 cores, batch size 64, and 640x640 input with version 1.3 of the DeepSparse Engine. + +Weights and Biases is very useful for comparing across these runs, the epochs vs mAP@0.5 graph is supplied below: + + + +If your hardware does not support quantized networks for inference speedup or complete recovery is very important, then we recommend using either the `pruned` or `pruned short` recipe. +Which one to use depends on how long you are willing to train and how vital full recovery is. +Consult the table above for this comparison. + +If your hardware does support quantized networks (VNNI instruction set on CPUs, for example), we recommend using the `pruned quantized` or `pruned quantized short` recipe. +Which one to use depends on how long you are willing to train and how crucial full recovery is. +Consult the table above for this comparison. + +When running quantized models, the memory footprint for training will significantly increase (roughly 3x). +Therefore it is essential to take this into account when selecting a batch size to train at. +To ensure no issues with the longer quantized runs, please run the quicker test recipe first to ensure your configurations are correct and the training process will complete successfully. + +## Exporting for Inference + +The sparsification run will create a new `exp` directory under the yolov3 runs directory: +``` +|-- VOC +|-- data +|-- models +|-- recipes +|-- tutorials +|-- yolov3 +| |-- data +| |-- models +| |-- runs +| | `-- train +| | |-- exp +| | |-- exp1 +| | | |-- weights +| | | | |-- best.pt +| | | | `-- last.pt +| | | |-- F1_curve.png +| | | |-- PR_curve.png +| | | |-- P_curve.png +| | | |-- R_curve.png +| | | |-- confusion_matrix.png +| | | `-- ... +| |-- train.py +| `-- ... +|-- README.md +`-- setup_integration.sh +``` + +The `best.pt` file contains a checkpoint of the best weights measured on the validation set. +These weights can be loaded into the `train.py` and `test.py` scripts now. +However, other formats are generally more friendly for other inference deployment platforms, such as [ONNX](https://onnx.ai/). + +The [`export.py` script](https://github.com/neuralmagic/yolov3/blob/master/models/export.py) handles the logic behind loading the checkpoint and converting it into the more common inference formats. +The following command loads the PyTorch graph, converts to ONNX, and then corrects any misformatted pieces for the pruned and quantized models. +```bash +python models/export.py --weights PATH_TO_SPARSIFIED_WEIGHTS --img-size 512 512 +``` + +The result is a new file added next to the sparsified checkpoint with a `.onnx` extension: +``` +|-- exp +|-- exp1 +|-- weights +| |-- best.pt +| |-- best.onnx +| `-- last.pt +`-- ... +``` + +Now you can run the `.onnx` file through a compression algorithm to reduce its deployment size and run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). +The DeepSparse Engine is explicitly coded to support running sparsified models for significant improvements in inference performance. +An example for benchmarking and deploying YOLOv3 models with DeepSparse can be found [here](https://github.com/neuralmagic/deepsparse/tree/main/examples/ultralytics-yolov3). From 70262764911de581f301d6358a7999add03c622b Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Fri, 11 Jun 2021 12:48:10 -0400 Subject: [PATCH 02/10] Remove scripts already in transformers repo --- .../sparsifying_bert_using_recipes.md | 288 ------------------ 1 file changed, 288 deletions(-) delete mode 100644 integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md deleted file mode 100644 index 4655458a32c..00000000000 --- a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md +++ /dev/null @@ -1,288 +0,0 @@ - - -# Sparsifying Bert Model Using Recipes - -Introduction about transformers, then Bert (and it's getting into production -- AI 2021 Index report) -Then say that these models are getting bigger, creating challenges for deployment etc -One remedy is model sparsification, lots of interest here (cite eg Ganesh 2020, movement pruning) - -Then this tutorial walks the readers through how to sparify a pretrained Bert model on Squad dataset - -Also say the results listed in this tutorial are available publicly through a Wandb project - -(Where to mention distillation?) - -## Set up - -Following the installation in the readme, you should have a virtual environment with - -## Creating a Pretrained Teacher Model - - -Before applying one of the pruning recipes, you first create a pretrained model on the Squad dataset. - -```bash -python transformers/examples/pytorch/question-answering/run_qa.py \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 3e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/teacher \ - --cache_dir cache \ - --preprocessing_num_workers 8 \ - --fp16 \ - --seed 92 \ - --num_train_epochs 2 \ - --warmup_steps 5400 \ - --save_steps 1000 \ - --save_total_limit 2 - --report_to wandb -``` - -If the command runs successfully, you should have a model folder called `teacher` in the provided model directory `MODELS_DIR`. - -## Applying Pruning Recipes - - - -```bash -python transformers/examples/pytorch/question-answering/run_qa.py \ - --teacher_model_name_or_path MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse80 \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ./recipes/sparse80.yaml.md \ - --onnx_export_path MODELS_DIR/sparse80/onnx \ - --report_to wandb -``` - -### Pruning and dropping layers - - - -Before applying one of the recipes, we must first create the pre-trained model to sparsify further. -The pre-trained model enables pruning and other algorithms to remove the correct redundant information in place of random information. -Our goal after this is to create a smaller, faster model that recovers to our pre-trained baseline. - -### Setting Up the Data - -If using your custom data, the Ultralytics repo contains a walk-through for [training custom data](https://github.com/ultralytics/yolov3/wiki/Train-Custom-Data). -Otherwise, setup scripts for both [VOC](https://cs.stanford.edu/~roozbeh/pascal-context/) and [COCO](https://cocodataset.org/#home) can be found under the [yolov3/data/scripts path](https://github.com/ultralytics/yolov3/tree/master/data/scripts). - -For this tutorial, we run the VOC setup script with the following command from the root of the yolov3 repository: -```bash -bash data/scripts/get_voc.sh -``` -Download and validation of the VOC dataset will begin and takes around 10 minutes to finish. -The script downloads the VOC dataset into a `VOC` folder under the parent directory. -Once completed, the data is ready for training with the folder structure in the following state: -``` -|-- VOC -| |-- images -| | |-- train -| | `-- val -| `-- labels -| |-- train -| `-- val -|-- yolov3 -| |-- data -| |-- models -| |-- utils -| |-- weights -| |-- Dockerfile -| |-- LICENSE -| |-- README.md -| |-- detect.py -| |-- hubconf.py -| |-- requirements.txt -| |-- test.py -| |-- train.py -| `-- tutorial.ipynb -``` - -### Training the Model - -To expedite the training process, we transfer learn from weights initially trained on the COCO dataset. -These are stored in the SparseZoo and can be accessed with the following Python code: -```python -from sparsezoo import Zoo - -model = Zoo.load_model_from_stub("zoo:cv/detection/yolo_v3-spp/pytorch/ultralytics/coco/base-none") -checkpoint_path = model.framework_files[0].downloaded_path() -print(checkpoint_path) -``` - -After running, the code has downloaded the checkpoint file to the local system: -```bash -downloading...: 100%|██████████| 126342273/126342273 [00:04<00:00, 28306365.97it/s] -/Users/markkurtz/.cache/sparsezoo/16fe8358-2e91-4b81-a1f2-df85bd1a9ac3/pytorch/model.pth -``` - -Next, the checkpoint file provides the source weights for training on VOC using the following train command run from within the yolov3 repository folder: -```bash -python train.py --weights PATH_TO_COCO_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --epochs 50 -``` - -The training command will take a few hours to complete (~3 hours for a titan RTX). -Afterward, we'll have a model that achieves roughly 0.85 mAP on the VOC dataset ready for sparsifying. - -The training command creates a `runs` directory under the yolov3 repository directory. -This directory will contain the outputs from the training run, including experimental results along with the trained model: -``` -|-- VOC -|-- data -|-- models -|-- recipes -|-- tutorials -|-- yolov3 -| |-- data -| |-- models -| |-- runs -| | `-- train -| | |-- exp -| | | |-- weights -| | | | |-- best.pt -| | | | `-- last.pt -| | | |-- F1_curve.png -| | | |-- PR_curve.png -| | | |-- P_curve.png -| | | |-- R_curve.png -| | | |-- confusion_matrix.png -| | | `-- ... -| |-- train.py -| `-- ... -|-- README.md -`-- setup_integration.sh -``` - -Now we are ready to use the weights at `yolov3/runs/train/exp/weights/best.pt` with our recipes to create sparsified models! - -## Applying a Recipe - -In general, recipes trade off the amount of recovery to the baseline training performance with the amount of sparsification for inference performance. -The [`recipes` folder](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes) contains multiple files, each offering certain advantages over others. -Below we walk through each to compare these tradeoffs and show how to run them on the VOC dataset. - -To begin applying one of the recipes, we use the `--recipe` argument within the Ultralytics [train script](https://github.com/neuralmagic/yolov3/blob/master/train.py). -In addition, the hyperparameters are changed slightly to better work with the recipe. -These hyperparameters are stored in appropriately named files under the [`data` directory](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/data) and are passed into the training script using the `--hyp` argument. -Both of the arguments are combined with our previous training command and VOC pre-trained weights to run the recipes over the model. -The recipes, commands, and results are all listed in the table below. - -| Recipe Name | Description | Train Command | VOC mAP@0.5 | Size on Disk | DeepSparse Performance** | Training Epochs (time) | Weights and Biases | -|----------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------|--------------|--------------------------|------------------------|--------------------------------------------------------------------------| -| Baseline | The baseline, pretrained model originally transfer learned onto the VOC dataset. | ``` python train.py --weights PATH_TO_COCO_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --epochs 50 ``` | 0.857 | 194 MB | 19.5 img/sec | 50 (3.21 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/261llnb1) | -| [Pruned](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned.md) | Creates a highly sparse, FP32 model that recovers close to the baseline model. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned.yaml --recipe ../recipes/yolov3-spp.pruned.md ``` | 0.858 | 33.6 MB | 34.0 img/sec | 300 (20.45 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/2jeadrts) | -| [Pruned Short](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned.short.md) | Creates a highly sparse, FP32 model in a shortened schedule to prioritize quicker training while sacrificing a bit on recovery. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned.yaml --recipe ../recipes/yolov3-spp.pruned.short.md ``` | 0.854 | 33.6 MB | 34.0 img/sec | 80 (5.53 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/jktw650n) | -| [Pruned Quantized](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned_quantized.md) | Creates a highly sparse, INT8 model that recovers reasonably close to the baseline model. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned_quantized.yaml --recipe ../recipes/yolov3-spp.pruned_quantized.md ``` | 0.827 | 13.4 MB | 90.4 img/sec | 242 (18.32 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/2dfy3rgs) | -| [Pruned Quantized Short](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.pruned_quantized.short.md) | Creates a highly sparse, INT8 model in a shortened schedule to prioritize quicker training while sacrificing a bit on recovery. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned_quantized.yaml --recipe ../recipes/yolov3-spp.pruned_quantized.short.md ``` | 0.808 | 13.4 MB | 90.4 img/sec | 52 (4.23 hours) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/1picfimy) | -| [Test](https://github.com/neuralmagic/sparseml/blob/main/integrations/ultralytics-yolov3/recipes/yolov3-spp.test.md) | A test recipe to test the training pipeline and device for both pruning and quantization in 5 epochs. | ``` python train.py --weights PATH_TO_VOC_PRETRAINED_WEIGHTS --data voc.yaml --img 512 --hyp ../data/hyp.pruned_quantized.yaml --recipe ../recipes/yolov3-spp.test.md ``` | 0.702 | 13.4 MB | 90.4 img/sec | 5 (17 minutes) | [wandb](https://wandb.ai/neuralmagic/yolov3-spp-lrelu-voc/runs/3bkw6c60) | - -** DeepSparse Performance measured on an aws C5 instance with 24 cores, batch size 64, and 640x640 input with version 1.3 of the DeepSparse Engine. - -Weights and Biases is very useful for comparing across these runs, the epochs vs mAP@0.5 graph is supplied below: - - - -If your hardware does not support quantized networks for inference speedup or complete recovery is very important, then we recommend using either the `pruned` or `pruned short` recipe. -Which one to use depends on how long you are willing to train and how vital full recovery is. -Consult the table above for this comparison. - -If your hardware does support quantized networks (VNNI instruction set on CPUs, for example), we recommend using the `pruned quantized` or `pruned quantized short` recipe. -Which one to use depends on how long you are willing to train and how crucial full recovery is. -Consult the table above for this comparison. - -When running quantized models, the memory footprint for training will significantly increase (roughly 3x). -Therefore it is essential to take this into account when selecting a batch size to train at. -To ensure no issues with the longer quantized runs, please run the quicker test recipe first to ensure your configurations are correct and the training process will complete successfully. - -## Exporting for Inference - -The sparsification run will create a new `exp` directory under the yolov3 runs directory: -``` -|-- VOC -|-- data -|-- models -|-- recipes -|-- tutorials -|-- yolov3 -| |-- data -| |-- models -| |-- runs -| | `-- train -| | |-- exp -| | |-- exp1 -| | | |-- weights -| | | | |-- best.pt -| | | | `-- last.pt -| | | |-- F1_curve.png -| | | |-- PR_curve.png -| | | |-- P_curve.png -| | | |-- R_curve.png -| | | |-- confusion_matrix.png -| | | `-- ... -| |-- train.py -| `-- ... -|-- README.md -`-- setup_integration.sh -``` - -The `best.pt` file contains a checkpoint of the best weights measured on the validation set. -These weights can be loaded into the `train.py` and `test.py` scripts now. -However, other formats are generally more friendly for other inference deployment platforms, such as [ONNX](https://onnx.ai/). - -The [`export.py` script](https://github.com/neuralmagic/yolov3/blob/master/models/export.py) handles the logic behind loading the checkpoint and converting it into the more common inference formats. -The following command loads the PyTorch graph, converts to ONNX, and then corrects any misformatted pieces for the pruned and quantized models. -```bash -python models/export.py --weights PATH_TO_SPARSIFIED_WEIGHTS --img-size 512 512 -``` - -The result is a new file added next to the sparsified checkpoint with a `.onnx` extension: -``` -|-- exp -|-- exp1 -|-- weights -| |-- best.pt -| |-- best.onnx -| `-- last.pt -`-- ... -``` - -Now you can run the `.onnx` file through a compression algorithm to reduce its deployment size and run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). -The DeepSparse Engine is explicitly coded to support running sparsified models for significant improvements in inference performance. -An example for benchmarking and deploying YOLOv3 models with DeepSparse can be found [here](https://github.com/neuralmagic/deepsparse/tree/main/examples/ultralytics-yolov3). From 9eea9e98a3f59fcf449ab9d6ca5f93577ef4c129 Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Fri, 11 Jun 2021 13:59:32 -0400 Subject: [PATCH 03/10] Rename recipes --- .../uni_80sparse_freq0.01_18prune10fine.md | 97 ---------------- ...80sparse_freq0.01_18prune10fine_6layers.md | 105 ------------------ .../uni_90sparse_freq0.01_18prune10fine.md | 95 ---------------- ...90sparse_freq0.01_18prune10fine_6layers.md | 105 ------------------ .../uni_95sparse_freq0.01_18prune10fine.md | 96 ---------------- ...95sparse_freq0.01_18prune10fine_6layers.md | 105 ------------------ 6 files changed, 603 deletions(-) delete mode 100644 integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md delete mode 100644 integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md delete mode 100644 integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md delete mode 100644 integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md delete mode 100644 integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md delete mode 100644 integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md diff --git a/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md b/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md deleted file mode 100644 index caf834a9d24..00000000000 --- a/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine.md +++ /dev/null @@ -1,97 +0,0 @@ - - ---- -# General variables -num_epochs: &num_epochs 30 - -# pruning hyperparameters -init_sparsity: &init_sparsity 0.00 -final_sparsity: &final_sparsity 0.80 -pruning_start_epoch: &pruning_start_epoch 2 -pruning_end_epoch: &pruning_end_epoch 20 -update_frequency: &pruning_update_frequency 0.01 - - -# modifiers: -training_modifiers: - - !EpochRangeModifier - end_epoch: 30 - start_epoch: 0.0 - -pruning_modifiers: - - !GMPruningModifier - params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight - start_epoch: *pruning_start_epoch - end_epoch: *pruning_end_epoch - init_sparsity: *init_sparsity - final_sparsity: *final_sparsity - inter_func: cubic - update_frequency: *pruning_update_frequency - leave_enabled: True - mask_type: unstructured - log_types: __ALL__ ---- - -# Bert model with pruned encoder layers - -This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 80% sparsity. It was used together with knowledge distillation to create sparse model that achives 100% recovery from its baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the -[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). - -## Weights and Biases - -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) - -## Training - -To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). -Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. - -*training command* -``` -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse80 \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ../recipes/uni_80sparse_freq0.01_18prune10fine.md \ - --onnx_export_path MODELS_DIR/sparse80/onnx \ - --report_to wandb -``` diff --git a/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md b/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md deleted file mode 100644 index 7e81ed98059..00000000000 --- a/integrations/huggingface-transformers/recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md +++ /dev/null @@ -1,105 +0,0 @@ - - ---- -# General variables -num_epochs: &num_epochs 30 - -# pruning hyperparameters -init_sparsity: &init_sparsity 0.00 -final_sparsity: &final_sparsity 0.80 -pruning_start_epoch: &pruning_start_epoch 2 -pruning_end_epoch: &pruning_end_epoch 20 -update_frequency: &pruning_update_frequency 0.01 - -# modifiers: -training_modifiers: - - !EpochRangeModifier - end_epoch: 30 - start_epoch: 0.0 - -pruning_modifiers: - - !GMPruningModifier - params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight - start_epoch: *pruning_start_epoch - end_epoch: *pruning_end_epoch - init_sparsity: *init_sparsity - final_sparsity: *final_sparsity - inter_func: cubic - update_frequency: *pruning_update_frequency - leave_enabled: True - mask_type: unstructured - log_types: __ALL__ - - - !LayerPruningModifier - layers: - - bert.encoder.layer.1 - - bert.encoder.layer.3 - - bert.encoder.layer.5 - - bert.encoder.layer.7 - - bert.encoder.layer.9 - - bert.encoder.layer.10 ---- - -# Bert model with dropped and pruned encoder layers - -This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 80% sparsity. It was used together with knowledge distillation to create sparse model that achives 97% recovery from its (teacher) baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the -[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). - -## Weights and Biases - -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) - -## Training - -To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). -Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. - -*training command* -``` -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse80_6layers \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ../recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md \ - --onnx_export_path MODELS_DIR/sparse80_6layers/onnx \ - --report_to wandb -``` diff --git a/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md b/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md deleted file mode 100644 index 0518ee0dcec..00000000000 --- a/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine.md +++ /dev/null @@ -1,95 +0,0 @@ - - ---- -# General variables -num_epochs: &num_epochs 30 - -# pruning hyperparameters -init_sparsity: &init_sparsity 0.00 -final_sparsity: &final_sparsity 0.90 -pruning_start_epoch: &pruning_start_epoch 2 -pruning_end_epoch: &pruning_end_epoch 20 -update_frequency: &pruning_update_frequency 0.01 - -# modifiers: -training_modifiers: - - !EpochRangeModifier - end_epoch: 30 - start_epoch: 0.0 - -pruning_modifiers: - - !GMPruningModifier - params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight - start_epoch: *pruning_start_epoch - end_epoch: *pruning_end_epoch - init_sparsity: *init_sparsity - final_sparsity: *final_sparsity - inter_func: cubic - update_frequency: *pruning_update_frequency - leave_enabled: True - mask_type: unstructured - log_types: __ALL__ ---- -# Bert model with pruned encoder layers - -This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achives 98.4% recovery from its baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the -[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). - -## Weights and Biases - -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) - -## Training - -To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). -Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. - -*training command* -``` -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse90 \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ../recipes/uni_90sparse_freq0.01_18prune10fine.md \ - --onnx_export_path MODELS_DIR/sparse90/onnx \ - --report_to wandb -``` diff --git a/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md b/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md deleted file mode 100644 index 12ace7a668c..00000000000 --- a/integrations/huggingface-transformers/recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md +++ /dev/null @@ -1,105 +0,0 @@ - - ---- -# General Epoch/LR variables -num_epochs: &num_epochs 30 - -# pruning hyperparameters -init_sparsity: &init_sparsity 0.00 -final_sparsity: &final_sparsity 0.90 -pruning_start_epoch: &pruning_start_epoch 2 -pruning_end_epoch: &pruning_end_epoch 20 -update_frequency: &pruning_update_frequency 0.01 - -# modifiers: -training_modifiers: - - !EpochRangeModifier - end_epoch: 30 - start_epoch: 0.0 - -pruning_modifiers: - - !GMPruningModifier - params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight - start_epoch: *pruning_start_epoch - end_epoch: *pruning_end_epoch - init_sparsity: *init_sparsity - final_sparsity: *final_sparsity - inter_func: cubic - update_frequency: *pruning_update_frequency - leave_enabled: True - mask_type: unstructured - log_types: __ALL__ - - - !LayerPruningModifier - layers: - - bert.encoder.layer.1 - - bert.encoder.layer.3 - - bert.encoder.layer.5 - - bert.encoder.layer.7 - - bert.encoder.layer.9 - - bert.encoder.layer.10 ---- - -# Bert model with dropped and pruned encoder layers - -This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achives 94.5% recovery from its (teacher) baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the -[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). - -## Weights and Biases - -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) - -## Training - -To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). -Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. - -*training command* -``` -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse90_6layers \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ../recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md \ - --onnx_export_path MODELS_DIR/sparse90_6layers/onnx \ - --report_to wandb -``` diff --git a/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md b/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md deleted file mode 100644 index 65fd9a7c121..00000000000 --- a/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine.md +++ /dev/null @@ -1,96 +0,0 @@ - - ---- -# General variables -num_epochs: &num_epochs 30 - -# pruning hyperparameters -init_sparsity: &init_sparsity 0.00 -final_sparsity: &final_sparsity 0.95 -pruning_start_epoch: &pruning_start_epoch 2 -pruning_end_epoch: &pruning_end_epoch 20 -update_frequency: &pruning_update_frequency 0.01 - -# modifiers: -training_modifiers: - - !EpochRangeModifier - end_epoch: 30 - start_epoch: 0.0 - -pruning_modifiers: - - !GMPruningModifier - params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight - start_epoch: *pruning_start_epoch - end_epoch: *pruning_end_epoch - init_sparsity: *init_sparsity - final_sparsity: *final_sparsity - inter_func: cubic - update_frequency: *pruning_update_frequency - leave_enabled: True - mask_type: unstructured - log_types: __ALL__ ---- - -# Bert model with pruned encoder layers - -This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 94.7% recovery from its baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the -[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). - -## Weights and Biases - -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) - -## Training - -To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). -Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. - -*training command* -``` -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse95 \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ../recipes/uni_95sparse_freq0.01_18prune10fine.md \ - --onnx_export_path MODELS_DIR/sparse95/onnx \ - --report_to wandb -``` diff --git a/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md b/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md deleted file mode 100644 index a7291986147..00000000000 --- a/integrations/huggingface-transformers/recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md +++ /dev/null @@ -1,105 +0,0 @@ - - ---- -# General Epoch/LR variables -num_epochs: &num_epochs 30 - -# pruning hyperparameters -init_sparsity: &init_sparsity 0.00 -final_sparsity: &final_sparsity 0.95 -pruning_start_epoch: &pruning_start_epoch 2 -pruning_end_epoch: &pruning_end_epoch 20 -update_frequency: &pruning_update_frequency 0.01 - -# modifiers: -training_modifiers: - - !EpochRangeModifier - end_epoch: 30 - start_epoch: 0.0 - -pruning_modifiers: - - !GMPruningModifier - params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight - start_epoch: *pruning_start_epoch - end_epoch: *pruning_end_epoch - init_sparsity: *init_sparsity - final_sparsity: *final_sparsity - inter_func: cubic - update_frequency: *pruning_update_frequency - leave_enabled: True - mask_type: unstructured - log_types: __ALL__ - - - !LayerPruningModifier - layers: - - bert.encoder.layer.1 - - bert.encoder.layer.3 - - bert.encoder.layer.5 - - bert.encoder.layer.7 - - bert.encoder.layer.9 - - bert.encoder.layer.10 ---- - -# Bert model with dropped and pruned encoder layers - -This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 90% recovery from its (teacher) baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the -[SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). - -## Weights and Biases - -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) - -## Training - -To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). -Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. - -*training command* -``` -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/teacher \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --fp16 \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/sparse95_6layers \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --seed 42 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --save_steps 1000 \ - --save_total_limit 2 \ - --recipe ../recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md \ - --onnx_export_path MODELS_DIR/sparse95_6layers/onnx \ - --report_to wandb -``` From d93ee1344446efa06ece53dc0a3f7ec0ebb256aa Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Mon, 14 Jun 2021 09:28:33 -0400 Subject: [PATCH 04/10] Tutorial sparsifying Bert on Squad --- .../sparsifying_bert_using_recipes.md | 132 ++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md new file mode 100644 index 00000000000..0f81b6bee24 --- /dev/null +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -0,0 +1,132 @@ + + +# Sparsifying Bert Models Using Recipes + +This tutorial presents essential extension from SparseML to HuggingFace Transformers training workflow to support model sparsification that includes knowledge distillation, parameter pruning, quantization and layer dropping. The examples used in this tutorial are specifically for Bert base uncased model trained and pruned on the Squad dataset, and further support and results will be available for other dataset in the near future. + +All the results listed in this tutorials are available publically through a [Weights and Biases project](https://wandb.ai/neuralmagic/sparse-bert-squad?workspace=user-neuralmagic). + + +## Creating a Pretrained Teacher Models + +Before applying one of the pruning recipes with distillation approach, we need a "teacher" model pretrained on the dataset. In our experiments, we trained the Bert model adapted to Squad in two epochs, resulting in a teacher model with EM/F1 metrics of 80.9/88.4. The `run_qa.py` script could be used for this purpose as follows. + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 3e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/bert-base-12layers \ + --cache_dir cache \ + --preprocessing_num_workers 8 \ + --fp16 \ + --num_train_epochs 2 \ + --warmup_steps 5400 \ + --report_to wandb +``` + +If the command runs successfully, you should have a model folder called `bert-base-12layers` in the provided model directory `MODELS_DIR`. + +## Applying Pruning Recipes + +Using the teacher model `bert-base-12layers` above, you can now train and prune a "student" Bert model on the same dataset using knowledge distillation. `SparseML` extends the training script `run_qa.py` with the following arguments to support recipes and knowledge distillation: + +- `--recipe`: path to a YAML recipe file that defines, among other information, the parameters and the desired sparsity levels to prune; +- `--distill_teacher`: path to the teacher model for distillation; the student model is trained to learn from both its correct targets and those "instructed" by the teacher model; +- `--distill_hardness`: ratio (in `[0.0, 1.0]`) of the loss defined on the teacher model targets; +- `--distill_temperature`: the temperature used to soften the distribution of the targets. + +Additionally, you will use the argument `--onnx_export_path` to specify the destination folder for the exported ONNX model. The resulting exported model could then be used for inference with the `DeepSparse` engine. + +The following command prunes the model in 30 epochs to 80% sparsity of the encoder layers: + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/bert-base-12layers \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/bert-base-12layers_prune80 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --fp16 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --recipe ../recipes/bert-base-12layers_prune80.md \ + --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ + --report_to wandb +``` + +The directory `recipes` contains information about recipes and training commands used to produce our Bert pruned models on the Squad dataset. + +### Dropping Layers + +In some situations, you might drop certain layers from a Bert model and retrain on your own dataset. `SparseML` supports these use cases with a modifier called `LayerPruningModifier` that can be used as part of a pruning recipe. As an example, below is an example modifier that prunes layers 5th and 7th from a Bert model: +``` +!LayerPruningModifier + layers: ['bert.encoder.layer.5', bert.encoder.layer.7'] +``` + +The directory `recipes` contains recipes, for example `bert-base-6layers_prune80`, that drops six layers from a model before applying pruning. + +The following table presents the recipes in the directory, the corresponding results and `wandb` logging for our pruned Bert models. + +| Recipe name | Description | EM / F1 | DeepSparse performance | Weight and Biases | +|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| bert-base-12layers | Bert fine-tuned on Squad | 80.927 / 88.435 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | +| bert-base-12layers_prune80 | Prune baseline model fine-tuned on Squad at 80% sparsity of encoder units | 81.372 / 88.62 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | +| bert-base-12layers_prune90 | Prune baseline model fine-tuned on Squad at 90% sparsity of encoder units | 79.376 / 87.229 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | +| bert-base-12layers_prune95 | Prune baseline model fine-tuned on Squad at 95% sparsity of encoder units | 74.939 / 83.929 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | +| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on Squad at 80% sparsity of encoder units | 78.042 / 85.915 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | +| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on Squad at 90% sparsity of encoder units | 75.08 / 83.602 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | +| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on Squad at 95% sparsity of encoder units | 70.946 / 80.483 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | + + +## Exporting for Inference + +The sparsification run with the argument `--export_onnx_path` will creates an ONNX model that can be used for benchmarking with `DeepSparse` engine. You can export a model as part of the training and pruning process (as in the commands above), or after the model is pruned. + +The following command evaluate a pruned model and convert it into ONNX format: + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --model_name_or_path MODELS_DIR/bert-base-12layers_prune80 \ + --dataset_name squad \ + --do_eval \ + --per_device_eval_batch_size 64 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ +``` + +If it runs successfully, you will have the converted `model.onnx` in `MODELS_DIR/bert-base-12layers_prune80/onnx`. You can now run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). The DeepSparse Engine is explicitly coded to support running sparsified models for significant improvements in inference performance. + From 8175e625d85e2675bdd54b43bd97927dde39f8bf Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Mon, 14 Jun 2021 09:57:25 -0400 Subject: [PATCH 05/10] Remove tutorial from this diff --- .../sparsifying_bert_using_recipes.md | 132 ------------------ 1 file changed, 132 deletions(-) delete mode 100644 integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md deleted file mode 100644 index 0f81b6bee24..00000000000 --- a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md +++ /dev/null @@ -1,132 +0,0 @@ - - -# Sparsifying Bert Models Using Recipes - -This tutorial presents essential extension from SparseML to HuggingFace Transformers training workflow to support model sparsification that includes knowledge distillation, parameter pruning, quantization and layer dropping. The examples used in this tutorial are specifically for Bert base uncased model trained and pruned on the Squad dataset, and further support and results will be available for other dataset in the near future. - -All the results listed in this tutorials are available publically through a [Weights and Biases project](https://wandb.ai/neuralmagic/sparse-bert-squad?workspace=user-neuralmagic). - - -## Creating a Pretrained Teacher Models - -Before applying one of the pruning recipes with distillation approach, we need a "teacher" model pretrained on the dataset. In our experiments, we trained the Bert model adapted to Squad in two epochs, resulting in a teacher model with EM/F1 metrics of 80.9/88.4. The `run_qa.py` script could be used for this purpose as follows. - -```bash -python transformers/examples/pytorch/question-answering/run_qa.py \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 3e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/bert-base-12layers \ - --cache_dir cache \ - --preprocessing_num_workers 8 \ - --fp16 \ - --num_train_epochs 2 \ - --warmup_steps 5400 \ - --report_to wandb -``` - -If the command runs successfully, you should have a model folder called `bert-base-12layers` in the provided model directory `MODELS_DIR`. - -## Applying Pruning Recipes - -Using the teacher model `bert-base-12layers` above, you can now train and prune a "student" Bert model on the same dataset using knowledge distillation. `SparseML` extends the training script `run_qa.py` with the following arguments to support recipes and knowledge distillation: - -- `--recipe`: path to a YAML recipe file that defines, among other information, the parameters and the desired sparsity levels to prune; -- `--distill_teacher`: path to the teacher model for distillation; the student model is trained to learn from both its correct targets and those "instructed" by the teacher model; -- `--distill_hardness`: ratio (in `[0.0, 1.0]`) of the loss defined on the teacher model targets; -- `--distill_temperature`: the temperature used to soften the distribution of the targets. - -Additionally, you will use the argument `--onnx_export_path` to specify the destination folder for the exported ONNX model. The resulting exported model could then be used for inference with the `DeepSparse` engine. - -The following command prunes the model in 30 epochs to 80% sparsity of the encoder layers: - -```bash -python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/bert-base-12layers \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --do_eval \ - --evaluation_strategy epoch \ - --per_device_train_batch_size 16 \ - --learning_rate 5e-5 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --output_dir MODELS_DIR/bert-base-12layers_prune80 \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --fp16 \ - --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ - --recipe ../recipes/bert-base-12layers_prune80.md \ - --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ - --report_to wandb -``` - -The directory `recipes` contains information about recipes and training commands used to produce our Bert pruned models on the Squad dataset. - -### Dropping Layers - -In some situations, you might drop certain layers from a Bert model and retrain on your own dataset. `SparseML` supports these use cases with a modifier called `LayerPruningModifier` that can be used as part of a pruning recipe. As an example, below is an example modifier that prunes layers 5th and 7th from a Bert model: -``` -!LayerPruningModifier - layers: ['bert.encoder.layer.5', bert.encoder.layer.7'] -``` - -The directory `recipes` contains recipes, for example `bert-base-6layers_prune80`, that drops six layers from a model before applying pruning. - -The following table presents the recipes in the directory, the corresponding results and `wandb` logging for our pruned Bert models. - -| Recipe name | Description | EM / F1 | DeepSparse performance | Weight and Biases | -|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| bert-base-12layers | Bert fine-tuned on Squad | 80.927 / 88.435 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | -| bert-base-12layers_prune80 | Prune baseline model fine-tuned on Squad at 80% sparsity of encoder units | 81.372 / 88.62 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | -| bert-base-12layers_prune90 | Prune baseline model fine-tuned on Squad at 90% sparsity of encoder units | 79.376 / 87.229 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | -| bert-base-12layers_prune95 | Prune baseline model fine-tuned on Squad at 95% sparsity of encoder units | 74.939 / 83.929 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | -| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on Squad at 80% sparsity of encoder units | 78.042 / 85.915 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | -| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on Squad at 90% sparsity of encoder units | 75.08 / 83.602 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | -| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on Squad at 95% sparsity of encoder units | 70.946 / 80.483 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | - - -## Exporting for Inference - -The sparsification run with the argument `--export_onnx_path` will creates an ONNX model that can be used for benchmarking with `DeepSparse` engine. You can export a model as part of the training and pruning process (as in the commands above), or after the model is pruned. - -The following command evaluate a pruned model and convert it into ONNX format: - -```bash -python transformers/examples/pytorch/question-answering/run_qa.py \ - --model_name_or_path MODELS_DIR/bert-base-12layers_prune80 \ - --dataset_name squad \ - --do_eval \ - --per_device_eval_batch_size 64 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --cache_dir cache \ - --preprocessing_num_workers 6 \ - --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ -``` - -If it runs successfully, you will have the converted `model.onnx` in `MODELS_DIR/bert-base-12layers_prune80/onnx`. You can now run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). The DeepSparse Engine is explicitly coded to support running sparsified models for significant improvements in inference performance. - From faeb8d4d206aaa57e7522b0e819c7a2778b134af Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Mon, 14 Jun 2021 10:00:49 -0400 Subject: [PATCH 06/10] Tutorial on sparsifying Bert on Squad --- .../sparsifying_bert_using_recipes.md | 132 ++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md new file mode 100644 index 00000000000..0f81b6bee24 --- /dev/null +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -0,0 +1,132 @@ + + +# Sparsifying Bert Models Using Recipes + +This tutorial presents essential extension from SparseML to HuggingFace Transformers training workflow to support model sparsification that includes knowledge distillation, parameter pruning, quantization and layer dropping. The examples used in this tutorial are specifically for Bert base uncased model trained and pruned on the Squad dataset, and further support and results will be available for other dataset in the near future. + +All the results listed in this tutorials are available publically through a [Weights and Biases project](https://wandb.ai/neuralmagic/sparse-bert-squad?workspace=user-neuralmagic). + + +## Creating a Pretrained Teacher Models + +Before applying one of the pruning recipes with distillation approach, we need a "teacher" model pretrained on the dataset. In our experiments, we trained the Bert model adapted to Squad in two epochs, resulting in a teacher model with EM/F1 metrics of 80.9/88.4. The `run_qa.py` script could be used for this purpose as follows. + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 3e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/bert-base-12layers \ + --cache_dir cache \ + --preprocessing_num_workers 8 \ + --fp16 \ + --num_train_epochs 2 \ + --warmup_steps 5400 \ + --report_to wandb +``` + +If the command runs successfully, you should have a model folder called `bert-base-12layers` in the provided model directory `MODELS_DIR`. + +## Applying Pruning Recipes + +Using the teacher model `bert-base-12layers` above, you can now train and prune a "student" Bert model on the same dataset using knowledge distillation. `SparseML` extends the training script `run_qa.py` with the following arguments to support recipes and knowledge distillation: + +- `--recipe`: path to a YAML recipe file that defines, among other information, the parameters and the desired sparsity levels to prune; +- `--distill_teacher`: path to the teacher model for distillation; the student model is trained to learn from both its correct targets and those "instructed" by the teacher model; +- `--distill_hardness`: ratio (in `[0.0, 1.0]`) of the loss defined on the teacher model targets; +- `--distill_temperature`: the temperature used to soften the distribution of the targets. + +Additionally, you will use the argument `--onnx_export_path` to specify the destination folder for the exported ONNX model. The resulting exported model could then be used for inference with the `DeepSparse` engine. + +The following command prunes the model in 30 epochs to 80% sparsity of the encoder layers: + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --distill_teacher MODELS_DIR/bert-base-12layers \ + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --evaluation_strategy epoch \ + --per_device_train_batch_size 16 \ + --learning_rate 5e-5 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --output_dir MODELS_DIR/bert-base-12layers_prune80 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --fp16 \ + --num_train_epochs 30 \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ + --recipe ../recipes/bert-base-12layers_prune80.md \ + --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ + --report_to wandb +``` + +The directory `recipes` contains information about recipes and training commands used to produce our Bert pruned models on the Squad dataset. + +### Dropping Layers + +In some situations, you might drop certain layers from a Bert model and retrain on your own dataset. `SparseML` supports these use cases with a modifier called `LayerPruningModifier` that can be used as part of a pruning recipe. As an example, below is an example modifier that prunes layers 5th and 7th from a Bert model: +``` +!LayerPruningModifier + layers: ['bert.encoder.layer.5', bert.encoder.layer.7'] +``` + +The directory `recipes` contains recipes, for example `bert-base-6layers_prune80`, that drops six layers from a model before applying pruning. + +The following table presents the recipes in the directory, the corresponding results and `wandb` logging for our pruned Bert models. + +| Recipe name | Description | EM / F1 | DeepSparse performance | Weight and Biases | +|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| bert-base-12layers | Bert fine-tuned on Squad | 80.927 / 88.435 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | +| bert-base-12layers_prune80 | Prune baseline model fine-tuned on Squad at 80% sparsity of encoder units | 81.372 / 88.62 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | +| bert-base-12layers_prune90 | Prune baseline model fine-tuned on Squad at 90% sparsity of encoder units | 79.376 / 87.229 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | +| bert-base-12layers_prune95 | Prune baseline model fine-tuned on Squad at 95% sparsity of encoder units | 74.939 / 83.929 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | +| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on Squad at 80% sparsity of encoder units | 78.042 / 85.915 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | +| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on Squad at 90% sparsity of encoder units | 75.08 / 83.602 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | +| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on Squad at 95% sparsity of encoder units | 70.946 / 80.483 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | + + +## Exporting for Inference + +The sparsification run with the argument `--export_onnx_path` will creates an ONNX model that can be used for benchmarking with `DeepSparse` engine. You can export a model as part of the training and pruning process (as in the commands above), or after the model is pruned. + +The following command evaluate a pruned model and convert it into ONNX format: + +```bash +python transformers/examples/pytorch/question-answering/run_qa.py \ + --model_name_or_path MODELS_DIR/bert-base-12layers_prune80 \ + --dataset_name squad \ + --do_eval \ + --per_device_eval_batch_size 64 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --cache_dir cache \ + --preprocessing_num_workers 6 \ + --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ +``` + +If it runs successfully, you will have the converted `model.onnx` in `MODELS_DIR/bert-base-12layers_prune80/onnx`. You can now run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). The DeepSparse Engine is explicitly coded to support running sparsified models for significant improvements in inference performance. + From 844873995ab1ad39b254440cc32f14ebc516a0ed Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Thu, 17 Jun 2021 06:21:32 -0400 Subject: [PATCH 07/10] Revised recipes, tutorial --- .../recipes/bert-base-12layers_prune80.md | 30 ++++---- .../recipes/bert-base-12layers_prune90.md | 30 ++++---- .../recipes/bert-base-12layers_prune95.md | 28 ++++---- .../recipes/bert-base-6layers_prune80.md | 18 ++--- .../recipes/bert-base-6layers_prune90.md | 18 ++--- .../recipes/bert-base-6layers_prune95.md | 18 ++--- .../setup_integration.sh | 3 +- .../tutorials/images/bert_12_6_layers_EM.png | Bin 0 -> 702979 bytes .../tutorials/images/bert_12_6_layers_F1.png | Bin 0 -> 672691 bytes .../sparsifying_bert_using_recipes.md | 64 +++++++++++------- 10 files changed, 114 insertions(+), 95 deletions(-) create mode 100644 integrations/huggingface-transformers/tutorials/images/bert_12_6_layers_EM.png create mode 100644 integrations/huggingface-transformers/tutorials/images/bert_12_6_layers_F1.png diff --git a/integrations/huggingface-transformers/recipes/bert-base-12layers_prune80.md b/integrations/huggingface-transformers/recipes/bert-base-12layers_prune80.md index caf834a9d24..b6802a2d97c 100644 --- a/integrations/huggingface-transformers/recipes/bert-base-12layers_prune80.md +++ b/integrations/huggingface-transformers/recipes/bert-base-12layers_prune80.md @@ -15,10 +15,10 @@ limitations under the License. --> --- -# General variables +# General Variables num_epochs: &num_epochs 30 -# pruning hyperparameters +# Pruning Hyperparameters init_sparsity: &init_sparsity 0.00 final_sparsity: &final_sparsity 0.80 pruning_start_epoch: &pruning_start_epoch 2 @@ -26,7 +26,7 @@ pruning_end_epoch: &pruning_end_epoch 20 update_frequency: &pruning_update_frequency 0.01 -# modifiers: +# Modifiers training_modifiers: - !EpochRangeModifier end_epoch: 30 @@ -35,12 +35,12 @@ training_modifiers: pruning_modifiers: - !GMPruningModifier params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + - re:bert.encoder.layer.*.attention.self.query.weight + - re:bert.encoder.layer.*.attention.self.key.weight + - re:bert.encoder.layer.*.attention.self.value.weight + - re:bert.encoder.layer.*.attention.output.dense.weight + - re:bert.encoder.layer.*.intermediate.dense.weight + - re:bert.encoder.layer.*.output.dense.weight start_epoch: *pruning_start_epoch end_epoch: *pruning_end_epoch init_sparsity: *init_sparsity @@ -52,21 +52,21 @@ pruning_modifiers: log_types: __ALL__ --- -# Bert model with pruned encoder layers +# BERT Model with Pruned Encoder Layers -This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 80% sparsity. It was used together with knowledge distillation to create sparse model that achives 100% recovery from its baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the +This recipe defines a pruning strategy to sparsify all encoder layers of a BERT model at 80% sparsity. It was used together with knowledge distillation to create sparse model that completely recovers the F1 metric (88.596) of the baseline model by on the SQuAD dataset. (We use the checkpoint at the end of the first 2 epochs as the baseline model for comparison, right before the pruning takes effect.) +Training was done using one V100 GPU at half precision using a training batch size of 16 with the [SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). ## Weights and Biases -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) +- [Sparse BERT on SQuAD](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) ## Training To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency, and logging options. *training command* ``` @@ -91,7 +91,7 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --distill_temperature 2.0 \ --save_steps 1000 \ --save_total_limit 2 \ - --recipe ../recipes/uni_80sparse_freq0.01_18prune10fine.md \ + --recipe ../recipes/bert-base-12layers_prune80.md \ --onnx_export_path MODELS_DIR/sparse80/onnx \ --report_to wandb ``` diff --git a/integrations/huggingface-transformers/recipes/bert-base-12layers_prune90.md b/integrations/huggingface-transformers/recipes/bert-base-12layers_prune90.md index 0518ee0dcec..778ec08020a 100644 --- a/integrations/huggingface-transformers/recipes/bert-base-12layers_prune90.md +++ b/integrations/huggingface-transformers/recipes/bert-base-12layers_prune90.md @@ -15,17 +15,17 @@ limitations under the License. --> --- -# General variables +# General Variables num_epochs: &num_epochs 30 -# pruning hyperparameters +# Pruning Hyperparameters init_sparsity: &init_sparsity 0.00 final_sparsity: &final_sparsity 0.90 pruning_start_epoch: &pruning_start_epoch 2 pruning_end_epoch: &pruning_end_epoch 20 update_frequency: &pruning_update_frequency 0.01 -# modifiers: +# Modifiers training_modifiers: - !EpochRangeModifier end_epoch: 30 @@ -34,12 +34,12 @@ training_modifiers: pruning_modifiers: - !GMPruningModifier params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + - re:bert.encoder.layer.*.attention.self.query.weight + - re:bert.encoder.layer.*.attention.self.key.weight + - re:bert.encoder.layer.*.attention.self.value.weight + - re:bert.encoder.layer.*.attention.output.dense.weight + - re:bert.encoder.layer.*.intermediate.dense.weight + - re:bert.encoder.layer.*.output.dense.weight start_epoch: *pruning_start_epoch end_epoch: *pruning_end_epoch init_sparsity: *init_sparsity @@ -50,21 +50,21 @@ pruning_modifiers: mask_type: unstructured log_types: __ALL__ --- -# Bert model with pruned encoder layers +# BERT Model with Pruned Encoder Layers -This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achives 98.4% recovery from its baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the +This recipe defines a pruning strategy to sparsify all encoder layers of a BERT model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achieves 98.4% recovery from the F1 metric (88.596) of the baseline model on the SQuAD dataset. (We use the checkpoint at the end of the first 2 epochs as the baseline model for comparison, right before the pruning takes effect.) +Training was done using one V100 GPU at half precision using a training batch size of 16 with the [SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). ## Weights and Biases -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) +- [Sparse BERT on SQuAD](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) ## Training To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency, and logging options. *training command* ``` @@ -89,7 +89,7 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --distill_temperature 2.0 \ --save_steps 1000 \ --save_total_limit 2 \ - --recipe ../recipes/uni_90sparse_freq0.01_18prune10fine.md \ + --recipe ../recipes/bert-base-12layers_prune90.md \ --onnx_export_path MODELS_DIR/sparse90/onnx \ --report_to wandb ``` diff --git a/integrations/huggingface-transformers/recipes/bert-base-12layers_prune95.md b/integrations/huggingface-transformers/recipes/bert-base-12layers_prune95.md index 65fd9a7c121..b3b4e5e6516 100644 --- a/integrations/huggingface-transformers/recipes/bert-base-12layers_prune95.md +++ b/integrations/huggingface-transformers/recipes/bert-base-12layers_prune95.md @@ -15,17 +15,17 @@ limitations under the License. --> --- -# General variables +# General Variables num_epochs: &num_epochs 30 -# pruning hyperparameters +# Pruning Hyperparameters init_sparsity: &init_sparsity 0.00 final_sparsity: &final_sparsity 0.95 pruning_start_epoch: &pruning_start_epoch 2 pruning_end_epoch: &pruning_end_epoch 20 update_frequency: &pruning_update_frequency 0.01 -# modifiers: +# Modifiers training_modifiers: - !EpochRangeModifier end_epoch: 30 @@ -34,12 +34,12 @@ training_modifiers: pruning_modifiers: - !GMPruningModifier params: - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.query.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.key.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.self.value.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).attention.output.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).intermediate.dense.weight - - re:bert.encoder.layer.([0,2,4,6,8]|11).output.dense.weight + - re:bert.encoder.layer.*.attention.self.query.weight + - re:bert.encoder.layer.*.attention.self.key.weight + - re:bert.encoder.layer.*.attention.self.value.weight + - re:bert.encoder.layer.*.attention.output.dense.weight + - re:bert.encoder.layer.*.intermediate.dense.weight + - re:bert.encoder.layer.*.output.dense.weight start_epoch: *pruning_start_epoch end_epoch: *pruning_end_epoch init_sparsity: *init_sparsity @@ -51,21 +51,21 @@ pruning_modifiers: log_types: __ALL__ --- -# Bert model with pruned encoder layers +# BERT Model with Pruned Encoder Layers -This recipe defines a pruning strategy to sparsify all encoder layers of a Bert model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 94.7% recovery from its baseline accuracy on the Squad dataset. +This recipe defines a pruning strategy to sparsify all encoder layers of a BERT model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achieves 94.7% recovery from the F1 metric of the baseline model on the SQuAD dataset. (We use the checkpoint at the end of the first 2 epochs as the baseline model for comparison, right before the pruning takes effect.) Training was done using 1 GPU at half precision using a training batch size of 16 with the [SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). ## Weights and Biases -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) +- [Sparse BERT on SQuAD](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) ## Training To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency, and logging options. *training command* ``` @@ -90,7 +90,7 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --distill_temperature 2.0 \ --save_steps 1000 \ --save_total_limit 2 \ - --recipe ../recipes/uni_95sparse_freq0.01_18prune10fine.md \ + --recipe ../recipes/bert-base-12layers_prune95.md \ --onnx_export_path MODELS_DIR/sparse95/onnx \ --report_to wandb ``` diff --git a/integrations/huggingface-transformers/recipes/bert-base-6layers_prune80.md b/integrations/huggingface-transformers/recipes/bert-base-6layers_prune80.md index 7e81ed98059..235574b81c4 100644 --- a/integrations/huggingface-transformers/recipes/bert-base-6layers_prune80.md +++ b/integrations/huggingface-transformers/recipes/bert-base-6layers_prune80.md @@ -15,17 +15,17 @@ limitations under the License. --> --- -# General variables +# General Variables num_epochs: &num_epochs 30 -# pruning hyperparameters +# Pruning Hyperparameters init_sparsity: &init_sparsity 0.00 final_sparsity: &final_sparsity 0.80 pruning_start_epoch: &pruning_start_epoch 2 pruning_end_epoch: &pruning_end_epoch 20 update_frequency: &pruning_update_frequency 0.01 -# modifiers: +# Modifiers training_modifiers: - !EpochRangeModifier end_epoch: 30 @@ -60,21 +60,21 @@ pruning_modifiers: - bert.encoder.layer.10 --- -# Bert model with dropped and pruned encoder layers +# BERT Model with Dropped and Pruned Encoder Layers -This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 80% sparsity. It was used together with knowledge distillation to create sparse model that achives 97% recovery from its (teacher) baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the +This recipe defines a dropping and pruning strategy to sparsify six encoder layers of a BERT model at 80% sparsity. It was used together with knowledge distillation to create sparse model that exceeds the F1 metric (83.632) of the baseline model by 0.02% on the SQuAD dataset. (We use the checkpoint at the end of the first 2 epochs as the baseline model for comparison, right before the pruning takes effect.) +Training was done using one V100 GPU at half precision using a training batch size of 16 with the [SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). ## Weights and Biases -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) +- [Sparse BERT on SQuAD](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) ## Training To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency, and logging options. *training command* ``` @@ -99,7 +99,7 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --distill_temperature 2.0 \ --save_steps 1000 \ --save_total_limit 2 \ - --recipe ../recipes/uni_80sparse_freq0.01_18prune10fine_6layers.md \ + --recipe ../recipes/bert-base-6layers_prune80.md \ --onnx_export_path MODELS_DIR/sparse80_6layers/onnx \ --report_to wandb ``` diff --git a/integrations/huggingface-transformers/recipes/bert-base-6layers_prune90.md b/integrations/huggingface-transformers/recipes/bert-base-6layers_prune90.md index 12ace7a668c..5a1bda3c294 100644 --- a/integrations/huggingface-transformers/recipes/bert-base-6layers_prune90.md +++ b/integrations/huggingface-transformers/recipes/bert-base-6layers_prune90.md @@ -15,17 +15,17 @@ limitations under the License. --> --- -# General Epoch/LR variables +# General Variables num_epochs: &num_epochs 30 -# pruning hyperparameters +# Pruning Hyperparameters init_sparsity: &init_sparsity 0.00 final_sparsity: &final_sparsity 0.90 pruning_start_epoch: &pruning_start_epoch 2 pruning_end_epoch: &pruning_end_epoch 20 update_frequency: &pruning_update_frequency 0.01 -# modifiers: +# Modifiers training_modifiers: - !EpochRangeModifier end_epoch: 30 @@ -60,21 +60,21 @@ pruning_modifiers: - bert.encoder.layer.10 --- -# Bert model with dropped and pruned encoder layers +# BERT Model with Dropped and Pruned Encoder Layers -This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achives 94.5% recovery from its (teacher) baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the +This recipe defines a dropping and pruning strategy to sparsify six encoder layers of a BERT model at 90% sparsity. It was used together with knowledge distillation to create sparse model that achieves 99.9% recovery from the F1 metric (83.632) of the baseline model on the SQuAD dataset. (We use the checkpoint at the end of the first 2 epochs as the baseline model for comparison, right before the pruning takes effect.) +Training was done using one V100 GPU at half precision using a training batch size of 16 with the [SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). ## Weights and Biases -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) +- [Sparse BERT on SQuAD](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) ## Training To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency, and logging options. *training command* ``` @@ -99,7 +99,7 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --distill_temperature 2.0 \ --save_steps 1000 \ --save_total_limit 2 \ - --recipe ../recipes/uni_90sparse_freq0.01_18prune10fine_6layers.md \ + --recipe ../recipes/bert-base-6layers_prune90.md \ --onnx_export_path MODELS_DIR/sparse90_6layers/onnx \ --report_to wandb ``` diff --git a/integrations/huggingface-transformers/recipes/bert-base-6layers_prune95.md b/integrations/huggingface-transformers/recipes/bert-base-6layers_prune95.md index a7291986147..c46d0d15001 100644 --- a/integrations/huggingface-transformers/recipes/bert-base-6layers_prune95.md +++ b/integrations/huggingface-transformers/recipes/bert-base-6layers_prune95.md @@ -15,17 +15,17 @@ limitations under the License. --> --- -# General Epoch/LR variables +# General Variables num_epochs: &num_epochs 30 -# pruning hyperparameters +# Pruning Hyperparameters init_sparsity: &init_sparsity 0.00 final_sparsity: &final_sparsity 0.95 pruning_start_epoch: &pruning_start_epoch 2 pruning_end_epoch: &pruning_end_epoch 20 update_frequency: &pruning_update_frequency 0.01 -# modifiers: +# Modifiers training_modifiers: - !EpochRangeModifier end_epoch: 30 @@ -60,21 +60,21 @@ pruning_modifiers: - bert.encoder.layer.10 --- -# Bert model with dropped and pruned encoder layers +# BERT Model with Dropped and Pruned Encoder Layers -This recipe defines a dropping and pruning strategy to sparsify 6 encoder layers of a Bert model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 90% recovery from its (teacher) baseline accuracy on the Squad dataset. -Training was done using 1 GPU at half precision using a training batch size of 16 with the +This recipe defines a dropping and pruning strategy to sparsify six encoder layers of a BERT model at 95% sparsity. It was used together with knowledge distillation to create sparse model that achives 96.2% recovery from the F1 metric of the baseline model on the SQuAD dataset. (We use the checkpoint at the end of the first 2 epochs as the baseline model for comparison, right before the pruning takes effect.) +Training was done using one V100 GPU at half precision using a training batch size of 16 with the [SparseML integration with huggingface/transformers](https://github.com/neuralmagic/sparseml/tree/main/integrations/huggingface-transformers). ## Weights and Biases -- [Sparse Bert on Squad](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) +- [Sparse BERT on SQuAD](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) ## Training To set up the training environment, follow the instructions on the [integration README](https://github.com/neuralmagic/sparseml/blob/main/integrations/huggingface-transformers/README.md). Using the `run_qa.py` script from the question-answering examples, the following command can be used to launch this recipe with distillation. -Adjust the training command below with your setup for GPU device, checkpoint saving frequency and logging options. +Adjust the training command below with your setup for GPU device, checkpoint saving frequency, and logging options. *training command* ``` @@ -99,7 +99,7 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --distill_temperature 2.0 \ --save_steps 1000 \ --save_total_limit 2 \ - --recipe ../recipes/uni_95sparse_freq0.01_18prune10fine_6layers.md \ + --recipe ../recipes/bert-base-6layers_prune95.md \ --onnx_export_path MODELS_DIR/sparse95_6layers/onnx \ --report_to wandb ``` diff --git a/integrations/huggingface-transformers/setup_integration.sh b/integrations/huggingface-transformers/setup_integration.sh index d3ad9d377fd..7a851c50893 100644 --- a/integrations/huggingface-transformers/setup_integration.sh +++ b/integrations/huggingface-transformers/setup_integration.sh @@ -4,6 +4,7 @@ # Creates a transformers folder next to this script with all required dependencies from the huggingface/transformers repository. # Command: `bash setup_integration.sh` -git clone https://github.com/huggingface/transformers.git +git clone https://github.com/neuralmagic/transformers.git cd transformers pip install -e . +pip install datasets diff --git a/integrations/huggingface-transformers/tutorials/images/bert_12_6_layers_EM.png b/integrations/huggingface-transformers/tutorials/images/bert_12_6_layers_EM.png new file mode 100644 index 0000000000000000000000000000000000000000..3fedade6fd0bc0cc040a438820b55ff97600cc8e GIT binary patch literal 702979 zcmc$GWmwc(_x7Nm2qGAOGzh4)lF|qw-QB44(A}U2C>;XQqI5UX2m;blLo?FNP(#PN z=jeIf|NG%Q@c(eG_rvk>^342ZX79Dvy4QW*YrmJ56~n#L%%Ll^%U>Uows9eC~Nm7dHdWD zwN7|TOn8_Q-ak_bO+W9Xe;zh@BmQ{68-4B|p*DH{{YL}i?#^|iCacN)dkabhUai%b0(a=zGT=y*bqf9DUbYc%&D9Ws4EPyeM4K*zJj#Pe?U@rGQ&r2JR@_@#<= 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literal 0 HcmV?d00001 diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md index 0f81b6bee24..03384426ea4 100644 --- a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -14,16 +14,29 @@ See the License for the specific language governing permissions and limitations under the License. --> -# Sparsifying Bert Models Using Recipes +# Sparsifying BERT Models Using Recipes -This tutorial presents essential extension from SparseML to HuggingFace Transformers training workflow to support model sparsification that includes knowledge distillation, parameter pruning, quantization and layer dropping. The examples used in this tutorial are specifically for Bert base uncased model trained and pruned on the Squad dataset, and further support and results will be available for other dataset in the near future. +This tutorial presents an essential extension from SparseML to Hugging Face Transformers training workflow to support model sparsification that includes knowledge distillation, parameter pruning and layer dropping. The examples used in this tutorial are specifically for BERT base uncased models, trained and pruned on the SQuAD dataset; further support and results will be available for other datasets in the near future. + +## Overview +Neural Magic’s ML team creates recipes that allow anyone to plug in their data and leverage SparseML’s recipe-driven approach on top of Hugging Face’s robust training pipelines. Sparsifying involves removing redundant information from neural networks using algorithms such as pruning and quantization, among others. This sparsification process results in many benefits for deployment environments, including faster inference and smaller file sizes. Unfortunately, many have not realized the benefits due to the complicated process and number of hyperparameters involved. + +Working through this tutorial, you will experience how Neural Magic recipes simplify the sparsification process by: + +- Creating a pre-trained teacher model for knowledge distillation. + +- Applying a recipe to select the trade off between the amount of recovery to the baseline training performance with the amount of sparsification for inference performance. + +- Exporting a pruned model to the ONNX format to run with an inference engine such as DeepSparse. All the results listed in this tutorials are available publically through a [Weights and Biases project](https://wandb.ai/neuralmagic/sparse-bert-squad?workspace=user-neuralmagic). +## Need Help? +For Neural Magic Support, sign up or log in to get help with your questions in our **Tutorials channel:** [Discourse Forum](https://discuss.neuralmagic.com/) and/or [Slack](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ). -## Creating a Pretrained Teacher Models +## Creating a Pretrained Teacher Model -Before applying one of the pruning recipes with distillation approach, we need a "teacher" model pretrained on the dataset. In our experiments, we trained the Bert model adapted to Squad in two epochs, resulting in a teacher model with EM/F1 metrics of 80.9/88.4. The `run_qa.py` script could be used for this purpose as follows. +Before applying one of the pruning recipes with the distillation approach, we need a "teacher" model pretrained on the dataset. In our experiments, we trained the BERT model adapted to SQuAD in two epochs, resulting in a teacher model with EM/F1 metrics of 80.9/88.4. The `run_qa.py` script could be used for this purpose as follows. ```bash python transformers/examples/pytorch/question-answering/run_qa.py \ @@ -49,21 +62,23 @@ If the command runs successfully, you should have a model folder called `bert-ba ## Applying Pruning Recipes -Using the teacher model `bert-base-12layers` above, you can now train and prune a "student" Bert model on the same dataset using knowledge distillation. `SparseML` extends the training script `run_qa.py` with the following arguments to support recipes and knowledge distillation: +Using the teacher model `bert-base-12layers` above, you can now train and prune a "student" BERT model on the same dataset using knowledge distillation. `SparseML` extends the training script `run_qa.py` with the following arguments to support recipes and knowledge distillation: - `--recipe`: path to a YAML recipe file that defines, among other information, the parameters and the desired sparsity levels to prune; - `--distill_teacher`: path to the teacher model for distillation; the student model is trained to learn from both its correct targets and those "instructed" by the teacher model; - `--distill_hardness`: ratio (in `[0.0, 1.0]`) of the loss defined on the teacher model targets; - `--distill_temperature`: the temperature used to soften the distribution of the targets. -Additionally, you will use the argument `--onnx_export_path` to specify the destination folder for the exported ONNX model. The resulting exported model could then be used for inference with the `DeepSparse` engine. +Additionally, you will use the argument `--onnx_export_path` to specify the destination folder for the exported ONNX model. The resulting exported model could then be used for inference with the `DeepSparse Engine`. The following command prunes the model in 30 epochs to 80% sparsity of the encoder layers: ```bash python transformers/examples/pytorch/question-answering/run_qa.py \ - --distill_teacher MODELS_DIR/bert-base-12layers \ --model_name_or_path bert-base-uncased \ + --distill_teacher MODELS_DIR/bert-base-12layers \ + --distill_hardness 1.0 \ + --distill_temperature 2.0 \ --dataset_name squad \ --do_train \ --do_eval \ @@ -77,18 +92,16 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --preprocessing_num_workers 6 \ --fp16 \ --num_train_epochs 30 \ - --distill_hardness 1.0 \ - --distill_temperature 2.0 \ --recipe ../recipes/bert-base-12layers_prune80.md \ --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ --report_to wandb ``` -The directory `recipes` contains information about recipes and training commands used to produce our Bert pruned models on the Squad dataset. +The directory `recipes` contains information about recipes and training commands used to produce our BERT pruned models on the SQuAD dataset. ### Dropping Layers -In some situations, you might drop certain layers from a Bert model and retrain on your own dataset. `SparseML` supports these use cases with a modifier called `LayerPruningModifier` that can be used as part of a pruning recipe. As an example, below is an example modifier that prunes layers 5th and 7th from a Bert model: +In some situations, you might drop certain layers from a BERT model and retrain on your own dataset. `SparseML` supports these use cases with a modifier called `LayerPruningModifier` that can be used as part of a pruning recipe. As an example, below is a modifier that prunes layers 5th and 7th from a BERT model: ``` !LayerPruningModifier layers: ['bert.encoder.layer.5', bert.encoder.layer.7'] @@ -96,24 +109,24 @@ In some situations, you might drop certain layers from a Bert model and retrain The directory `recipes` contains recipes, for example `bert-base-6layers_prune80`, that drops six layers from a model before applying pruning. -The following table presents the recipes in the directory, the corresponding results and `wandb` logging for our pruned Bert models. +The following table presents the recipes in the directory, the corresponding results, and `wandb` logging for our pruned BERT models. | Recipe name | Description | EM / F1 | DeepSparse performance | Weight and Biases | -|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| bert-base-12layers | Bert fine-tuned on Squad | 80.927 / 88.435 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | -| bert-base-12layers_prune80 | Prune baseline model fine-tuned on Squad at 80% sparsity of encoder units | 81.372 / 88.62 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | -| bert-base-12layers_prune90 | Prune baseline model fine-tuned on Squad at 90% sparsity of encoder units | 79.376 / 87.229 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | -| bert-base-12layers_prune95 | Prune baseline model fine-tuned on Squad at 95% sparsity of encoder units | 74.939 / 83.929 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | -| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on Squad at 80% sparsity of encoder units | 78.042 / 85.915 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | -| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on Squad at 90% sparsity of encoder units | 75.08 / 83.602 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | -| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on Squad at 95% sparsity of encoder units | 70.946 / 80.483 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | +|-------------|-------------|---------|------------------------|------------------------------------------------------------------------------------------------| +| bert-base-12layers | BERT fine-tuned on SQuAD | 80.927 / 88.435 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | +| bert-base-12layers_prune80 | Prune baseline model fine-tuned on SQuAD at 80% sparsity of encoder units | 81.372 / 88.62 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | +| bert-base-12layers_prune90 | Prune baseline model fine-tuned on SQuAD at 90% sparsity of encoder units | 79.376 / 87.229 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | +| bert-base-12layers_prune95 | Prune baseline model fine-tuned on SQuAD at 95% sparsity of encoder units | 74.939 / 83.929 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | +| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on SQuAD at 80% sparsity of encoder units | 78.042 / 85.915 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | +| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on SQuAD at 90% sparsity of encoder units | 75.08 / 83.602 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | +| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on SQuAD at 95% sparsity of encoder units | 70.946 / 80.483 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | ## Exporting for Inference -The sparsification run with the argument `--export_onnx_path` will creates an ONNX model that can be used for benchmarking with `DeepSparse` engine. You can export a model as part of the training and pruning process (as in the commands above), or after the model is pruned. +The sparsification run with the argument `--export_onnx_path` will creates an ONNX model that can be used for benchmarking with `DeepSparse Engine`. You can export a model as part of the training and pruning process (as in the commands above), or after the model is pruned. -The following command evaluate a pruned model and convert it into ONNX format: +The following command evaluates a pruned model and converts it to the ONNX format: ```bash python transformers/examples/pytorch/question-answering/run_qa.py \ @@ -128,5 +141,10 @@ python transformers/examples/pytorch/question-answering/run_qa.py \ --onnx_export_path MODELS_DIR/bert-base-12layers_prune80/onnx \ ``` -If it runs successfully, you will have the converted `model.onnx` in `MODELS_DIR/bert-base-12layers_prune80/onnx`. You can now run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). The DeepSparse Engine is explicitly coded to support running sparsified models for significant improvements in inference performance. +If it runs successfully, you will have the converted `model.onnx` in `MODELS_DIR/bert-base-12layers_prune80/onnx`. You can now run it in ONNX-compatible inference engines such as [DeepSparse](https://github.com/neuralmagic/deepsparse). The `DeepSparse Engine` is explicitly coded to support running sparsified models for significant improvements in inference performance. + +## Wrap-Up + +Neural Magic recipes simplify the sparsification process by encoding the hyperparameters and instructions needed to create highly accurate pruned BERT models. In this tutorial, you created a pre-trained model to establish a baseline, applied a Neural Magic recipe for sparsification, and exported to ONNX to run through an inference engine. +For Neural Magic Support, sign up or log in to get help with your questions in our **Tutorials channel:** [Discourse Forum](https://discuss.neuralmagic.com/) and/or [Slack](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ). From 8cc66f7bb98f2149c1c4fea92dd0dc325f18906f Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Sun, 20 Jun 2021 13:49:19 -0400 Subject: [PATCH 08/10] Add W&B graph, fix table --- .../sparsifying_bert_using_recipes.md | 23 +++++++++++-------- 1 file changed, 14 insertions(+), 9 deletions(-) diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md index 03384426ea4..b231447d96e 100644 --- a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -31,6 +31,11 @@ Working through this tutorial, you will experience how Neural Magic recipes simp All the results listed in this tutorials are available publically through a [Weights and Biases project](https://wandb.ai/neuralmagic/sparse-bert-squad?workspace=user-neuralmagic). +

+ + +

+ ## Need Help? For Neural Magic Support, sign up or log in to get help with your questions in our **Tutorials channel:** [Discourse Forum](https://discuss.neuralmagic.com/) and/or [Slack](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ). @@ -111,15 +116,15 @@ The directory `recipes` contains recipes, for example `bert-base-6layers_prune80 The following table presents the recipes in the directory, the corresponding results, and `wandb` logging for our pruned BERT models. -| Recipe name | Description | EM / F1 | DeepSparse performance | Weight and Biases | -|-------------|-------------|---------|------------------------|------------------------------------------------------------------------------------------------| -| bert-base-12layers | BERT fine-tuned on SQuAD | 80.927 / 88.435 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | -| bert-base-12layers_prune80 | Prune baseline model fine-tuned on SQuAD at 80% sparsity of encoder units | 81.372 / 88.62 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | -| bert-base-12layers_prune90 | Prune baseline model fine-tuned on SQuAD at 90% sparsity of encoder units | 79.376 / 87.229 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | -| bert-base-12layers_prune95 | Prune baseline model fine-tuned on SQuAD at 95% sparsity of encoder units | 74.939 / 83.929 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | -| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on SQuAD at 80% sparsity of encoder units | 78.042 / 85.915 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | -| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on SQuAD at 90% sparsity of encoder units | 75.08 / 83.602 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | -| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on SQuAD at 95% sparsity of encoder units | 70.946 / 80.483 | | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | +| Recipe name | Description | EM / F1 | Weight and Biases | +|-------------|-------------|---------|-----------------------------------------------------------------------------------------------| +| bert-base-12layers | BERT fine-tuned on SQuAD | 80.927 / 88.435 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | +| bert-base-12layers_prune80 | Prune baseline model fine-tuned on SQuAD at 80% sparsity of encoder units | 81.372 / 88.62 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) | +| bert-base-12layers_prune90 | Prune baseline model fine-tuned on SQuAD at 90% sparsity of encoder units | 79.376 / 87.229 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/2ht2eqsn?workspace=user-neuralmagic) | +| bert-base-12layers_prune95 | Prune baseline model fine-tuned on SQuAD at 95% sparsity of encoder units | 74.939 / 83.929 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3gv0arxd?workspace=user-neuralmagic) | +| bert-base-6layers_prune80 | Prune 6-layer model fine-tuned on SQuAD at 80% sparsity of encoder units | 78.042 / 85.915 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/ebab4np4?workspace=user-neuralmagic) | +| bert-base-6layers_prune90 | Prune 6-layer model fine-tuned on SQuAD at 90% sparsity of encoder units | 75.08 / 83.602 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3qvxoroz?workspace=user-neuralmagic) | +| bert-base-6layers_prune95 | Prune 6-layer model fine-tuned on SQuAD at 95% sparsity of encoder units | 70.946 / 80.483 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/3plynclw?workspace=user-neuralmagic) | ## Exporting for Inference From 65d2a60613644b52dd5f61efb7e81de91fd1c9e2 Mon Sep 17 00:00:00 2001 From: Tuan Nguyen Date: Mon, 21 Jun 2021 11:10:19 -0400 Subject: [PATCH 09/10] Fix reference to images --- .../tutorials/sparsifying_bert_using_recipes.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md index b231447d96e..41e96d06fda 100644 --- a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -32,8 +32,8 @@ Working through this tutorial, you will experience how Neural Magic recipes simp All the results listed in this tutorials are available publically through a [Weights and Biases project](https://wandb.ai/neuralmagic/sparse-bert-squad?workspace=user-neuralmagic).

- - + +

## Need Help? From c22b7b09fd3f287b6f7eb0f4d5a171d5b4b91e50 Mon Sep 17 00:00:00 2001 From: Mark Kurtz Date: Mon, 21 Jun 2021 11:24:27 -0400 Subject: [PATCH 10/10] Update integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> --- .../tutorials/sparsifying_bert_using_recipes.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md index 41e96d06fda..1f07f4ab322 100644 --- a/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md +++ b/integrations/huggingface-transformers/tutorials/sparsifying_bert_using_recipes.md @@ -116,7 +116,7 @@ The directory `recipes` contains recipes, for example `bert-base-6layers_prune80 The following table presents the recipes in the directory, the corresponding results, and `wandb` logging for our pruned BERT models. -| Recipe name | Description | EM / F1 | Weight and Biases | +| Recipe name | Description | EM / F1 | Weights and Biases | |-------------|-------------|---------|-----------------------------------------------------------------------------------------------| | bert-base-12layers | BERT fine-tuned on SQuAD | 80.927 / 88.435 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/w3b1ggyq?workspace=user-neuralmagic) | | bert-base-12layers_prune80 | Prune baseline model fine-tuned on SQuAD at 80% sparsity of encoder units | 81.372 / 88.62 | [wandb](https://wandb.ai/neuralmagic/sparse-bert-squad/runs/18qdx7b3?workspace=user-neuralmagic) |

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