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Describe the bug
key error from superGLUE example
task_name = 'qqp' trainer = Trainer(env_type='pytorch', pytorch_device="cuda", epochs=2, batch_size=1, eval_interval=1000, checkpoint_activations=False, fp16=True, log_interval=1, save_dir="./glm_superglue_en", # master_ip='127.0.0.1', # master_port=17755, # num_nodes=1, # num_gpus=2, # hostfile='./hostfile', model_parallel_size=2, deepspeed_config='./deepspeed.json', training_script=__file__) model = GLMForSingleTokenCloze.from_pretrain(download_path="/mnt/test_10b_models", model_name="GLM-large-en") tokenizer = GLM10bENBPETokenizer() train_dataset = SuperGlueDataset(task_name=task_name, data_dir='./datasets/', dataset_type='train', tokenizer=tokenizer, cloze_eval=True) valid_dataset = SuperGlueDataset(task_name=task_name, data_dir='./datasets/', dataset_type='dev', tokenizer=tokenizer, cloze_eval=True) cl_args = CollateArguments() cl_args.cloze_eval = True if task_name in ['copa', 'wsc', 'record']: cl_args.multi_token = True from flagai.data.dataset import ConstructSuperglueStrategy collate_fn = ConstructSuperglueStrategy(cl_args, tokenizer, task_name=task_name) trainer.train(model, train_dataset=train_dataset, valid_dataset=valid_dataset, collate_fn=collate_fn, metric_methods=[["acc", accuracy_metric]])
Tasks
To Reproduce
Creating qqp dataset from file at ./datasets/ (split=train) Returning 363846 train examples with label dist.: [('0', 229468), ('1', 134378)] Creating qqp dataset from file at ./datasets/ (split=dev) Returning 40430 dev examples with label dist.: [('0', 25545), ('1', 14885)] Optimizer = Adam [2022-06-08 17:54:06,911] [INFO] [logger.py:70:log_dist] [Rank -1] loading checkpoints form checkpoints/99 [2022-06-08 17:54:06,912] [INFO] [logger.py:70:log_dist] [Rank -1] WARNING: could not find the metadata file checkpoints/99/latest_checkpointed_iteration.txt [2022-06-08 17:54:06,912] [INFO] [logger.py:70:log_dist] [Rank -1] will not load any checkpoints and will start from random [2022-06-08 17:54:06,912] [INFO] [logger.py:70:log_dist] [Rank -1] working on epoch 0 ... Traceback (most recent call last): File "train_10b_superglue.py", line 59, in <module> trainer.train(model, File "/opt/conda/lib/python3.8/site-packages/flagai-1.0.1-py3.8.egg/flagai/trainer.py", line 448, in train for iteration_, batch in enumerate(train_dataloader): File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 530, in __next__ data = self._next_data() File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 570, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch return self.collate_fn(data) File "/opt/conda/lib/python3.8/site-packages/flagai-1.0.1-py3.8.egg/flagai/data/dataset/data_collator/collate_fn.py", line 105, in __call__ sample = self.pvp.encode(example, {}) File "/opt/conda/lib/python3.8/site-packages/flagai-1.0.1-py3.8.egg/flagai/data/dataset/superglue/pvp.py", line 195, in encode raw_parts_a, raw_parts_b = self.get_parts(example) File "/opt/conda/lib/python3.8/site-packages/flagai-1.0.1-py3.8.egg/flagai/data/dataset/superglue/pvp.py", line 1493, in get_parts return [text_a], [" Do you mean ", text_b, [self.mask], "."] File "/opt/conda/lib/python3.8/site-packages/flagai-1.0.1-py3.8.egg/flagai/data/dataset/superglue/pvp.py", line 99, in mask return self.tokenizer.get_command('MASK').Id File "/opt/conda/lib/python3.8/site-packages/flagai-1.0.1-py3.8.egg/flagai/data/tokenizer/tokenizer.py", line 172, in get_command return self.command_name_map[name] KeyError: 'MASK'
Expected behavior A clear and concise description of what you expected to happen.
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The text was updated successfully, but these errors were encountered:
fixed #57
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Anhforth
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Describe the bug
key error from superGLUE example
Tasks
To Reproduce
Expected behavior
A clear and concise description of what you expected to happen.
Screenshots
OS (please complete the following information):
The text was updated successfully, but these errors were encountered: