/
dbrx-full-ft.yaml
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/
dbrx-full-ft.yaml
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variables:
# Run Name
run_name: # If left blank, will be read from env var $RUN_NAME
# Note: This requires ~64x80GB GPUs
max_seq_len: 4096
icl_seq_len: 1024
run_name: ${variables.run_name}
max_seq_len: ${variables.max_seq_len}
icl_seq_len: ${variables.icl_seq_len}
# Model
model:
name: hf_causal_lm
pretrained: true
init_device: mixed
use_auth_token: true
config_overrides: {}
use_flash_attention_2: true
pretrained_model_name_or_path: databricks/dbrx-instruct
# Tokenizer
tokenizer:
name: databricks/dbrx-instruct
kwargs:
model_max_length: ${variables.max_seq_len}
trust_remote_code: true
# Dataloaders
train_loader:
name: finetuning
dataset:
split: train
hf_name: mosaicml/dolly_hhrlhf
shuffle: true
max_seq_len: ${variables.max_seq_len}
eos_token_id: 0
packing_ratio: auto
allow_pad_trimming: false
decoder_only_format: true
drop_last: true
pin_memory: true
num_workers: 8
prefetch_factor: 2
persistent_workers: true
eval_loader:
name: finetuning
dataset:
split: test
hf_name: mosaicml/dolly_hhrlhf
shuffle: false
max_seq_len: ${variables.max_seq_len}
packing_ratio: null
allow_pad_trimming: false
decoder_only_format: true
drop_last: true
pin_memory: true
num_workers: 8
prefetch_factor: 2
persistent_workers: true
# Optimization
optimizer:
lr: 0.000001
name: decoupled_lionw
betas:
- 0.9
- 0.95
weight_decay: 1.0e-06
scheduler:
name: cosine_with_warmup
alpha_f: 0
t_warmup: 0.02dur
algorithms:
gradient_clipping:
clipping_type: norm
clipping_threshold: 1
max_duration: 2ep
eval_interval: 1ep
global_train_batch_size: 64
eval_first: false
# eval_subset_num_batches: -1
# System
seed: 17
device_train_microbatch_size: 1
device_eval_batch_size: 1
precision: amp_bf16
dist_timeout: 3600
expandable_segments: true
# FSDP
fsdp_config:
mixed_precision: PURE
state_dict_type: sharded
limit_all_gathers: true
sharding_strategy: FULL_SHARD
activation_cpu_offload: false
activation_checkpointing: true
activation_checkpointing_reentrant: false
# Logging
progress_bar: false
log_to_console: true
console_log_interval: 1ba
# Callbacks
callbacks:
lr_monitor: {}
speed_monitor:
window_size: 1
memory_monitor: {}
hf_checkpointer:
overwrite: true
precision: bfloat16
save_folder: ./{run_name}/checkpoints
save_interval: 1dur
runtime_estimator: {}
# Checkpoint to local filesystem or remote object store
# save_interval: 5000ba
# save_num_checkpoints_to_keep: 1 # Important, this cleans up checkpoints saved to DISK
# save_folder: ./{run_name}/checkpoints
# save_folder: s3://my-bucket/my-folder/{run_name}/checkpoints
# Logging
# loggers:
# wandb:
# name:
# group:
# mlflow:
# tracking_uri:
# experiment_name: