| base_model: mistralai/Mixtral-8x7B-v0.1 |
| model_type: AutoModelForCausalLM |
| tokenizer_type: LlamaTokenizer |
| trust_remote_code: true |
|
|
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
|
|
| datasets: |
| - path: tatsu-lab/alpaca |
| type: alpaca |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0.02 |
| output_dir: ./outputs/qlora-out |
|
|
| model_config: |
| output_router_logits: true |
|
|
| adapter: qlora |
| lora_model_dir: |
|
|
| sequence_len: 1024 |
| sample_packing: false |
| pad_to_sequence_len: false |
|
|
| lora_r: 32 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
|
|
| wandb_project: |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
|
|
| gradient_accumulation_steps: 4 |
| micro_batch_size: 2 |
| num_epochs: 1 |
| optimizer: adamw_torch |
| lr_scheduler: cosine |
| learning_rate: 0.0002 |
|
|
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: true |
|
|
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
|
|
| loss_watchdog_threshold: 5.0 |
| loss_watchdog_patience: 3 |
|
|
| warmup_steps: 10 |
| evals_per_epoch: 4 |
| eval_table_size: |
| eval_max_new_tokens: 128 |
| 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: true |
| fsdp_use_orig_params: false |
| fsdp_cpu_ram_efficient_loading: true |
| fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock |
| fsdp_state_dict_type: FULL_STATE_DICT |
| fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
| fsdp_sharding_strategy: FULL_SHARD |
| fsdp_forward_prefetch: false |
| fsdp_backward_prefetch: BACKWARD_PRE |
| special_tokens: |
|
|
