| base_model: NousResearch/Hermes-2-Pro-Mistral-7B |
| model_type: MistralForCausalLM |
| tokenizer_type: LlamaTokenizer |
|
|
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
|
|
| datasets: |
| |
| |
| - path: roleplay4fun/20240327_limarp_segmented_experiment_00 |
| type: input_output |
| - path: roleplay4fun/20240327_aesir_segmented_experiment_00 |
| type: input_output |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0.0 |
| output_dir: ./qlora-out-3 |
|
|
| adapter: qlora |
| lora_model_dir: |
|
|
| sequence_len: 4096 |
| sample_packing: true |
| pad_to_sequence_len: true |
|
|
| lora_r: 64 |
| 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: 16 |
| micro_batch_size: 2 |
| num_epochs: 5 |
| 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: 5 |
| xformers_attention: |
| flash_attention: true |
|
|
| loss_watchdog_threshold: 5.0 |
| loss_watchdog_patience: 3 |
|
|
| warmup_steps: 10 |
| evals_per_epoch: |
| eval_table_size: |
| eval_max_new_tokens: 128 |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.0 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
|
|
