| base_model: LnL-AI/dbrx-base-converted-v2 | |
| trust_remote_code: true | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| datasets: | |
| - path: tatsu-lab/alpaca | |
| type: alpaca | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.0 | |
| output_dir: ./out | |
| sequence_len: 512 | |
| sample_packing: false | |
| pad_to_sequence_len: false | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| adapter: lora | |
| lora_model_dir: | |
| lora_r: 8 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| # w1, w2, & v1 will hang the trainer | |
| lora_target_modules: | |
| - q_proj # attn | |
| - k_proj # attn | |
| - v_proj # attn | |
| - out_proj # attn | |
| - layer # router | |
| # - w1 | |
| # - w2 | |
| # - v1 | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 1 | |
| num_epochs: 1 | |
| optimizer: paged_adamw_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.0002 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: false | |
| gradient_checkpointing: false # don't use with fsdp_activation_checkpointing | |
| gradient_checkpointing_kwargs: | |
| use_reentrant: false | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| warmup_steps: 10 | |
| evals_per_epoch: | |
| saves_per_epoch: 1 | |
| debug: | |
| weight_decay: 0.0 | |
| fsdp: | |
| - full_shard | |
| - auto_wrap | |
| fsdp_config: | |
| fsdp_limit_all_gathers: true | |
| fsdp_sync_module_states: true | |
| fsdp_offload_params: false | |
| fsdp_use_orig_params: false | |
| fsdp_cpu_ram_efficient_loading: true | |
| fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP | |
| fsdp_transformer_layer_cls_to_wrap: DbrxBlock | |
| fsdp_state_dict_type: FULL_STATE_DICT | |
| fsdp_activation_checkpointing: true | |