| base_model: mistralai/Mistral-7B-v0.1 | |
| model_type: MistralForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| is_mistral_derived_model: true | |
| load_in_8bit: false | |
| load_in_4bit: true | |
| strict: false | |
| datasets: | |
| - path: mhenrichsen/alpaca_2k_test | |
| type: alpaca | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.1 | |
| output_dir: ./qlora-out | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 8192 | |
| sample_packing: true | |
| pad_to_sequence_len: true | |
| lora_r: 32 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| lora_target_modules: | |
| - gate_proj | |
| - down_proj | |
| - up_proj | |
| - q_proj | |
| - v_proj | |
| - k_proj | |
| - o_proj | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| gradient_accumulation_steps: 4 | |
| micro_batch_size: 2 | |
| num_epochs: 1 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.0002 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: false | |
| 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_table_max_new_tokens: 128 | |
| saves_per_epoch: 1 | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.0 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| bos_token: "<s>" | |
| eos_token: "</s>" | |
| unk_token: "<unk>" | |