| base_model: mistralai/Mistral-7B-Instruct-v0.3 | |
| # optionally might have model_type or tokenizer_type | |
| model_type: MistralForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| # Automatically upload checkpoint and final model to HF | |
| hub_model_id: AiAF/QLoRA-Finetune-LMTV-TM-9-2320-365-10 | |
| load_in_8bit: false | |
| load_in_4bit: true | |
| datasets: | |
| - path: AiAF/TM_plain_qa_list_with_special_tokens.jsonl | |
| ds_type: json | |
| type: chat_template | |
| chat_template: chatml | |
| field_messages: conversations | |
| message_field_role: from | |
| message_field_content: value | |
| roles: | |
| user: | |
| - human | |
| assistant: | |
| - gpt | |
| system: | |
| - system | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.1 | |
| output_dir: ./TM-9-2320-365-10_V11 | |
| save_total_limit: 100 | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 2048 | |
| sample_packing: true | |
| pad_to_sequence_len: true | |
| adapter: qlora | |
| lora_r: 256 | |
| lora_alpha: 512 | |
| lora_dropout: 0.05 | |
| #lora_target_linear: true | |
| lora_target_modules: | |
| - gate_proj | |
| - down_proj | |
| - up_proj | |
| - q_proj | |
| - v_proj | |
| - k_proj | |
| wandb_project: "LLM-Pretraining" | |
| wandb_watch: "all" | |
| wandb_name: "LMTV-TM-V11" | |
| wandb_log_model: "false" | |
| wandb_run_id: "LMTV-TM-V11" | |
| gradient_accumulation_steps: 4 | |
| micro_batch_size: 2 | |
| num_epochs: 30 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.000005 | |
| bf16: auto | |
| tf32: false | |
| gradient_checkpointing: true | |
| resume_from_checkpoint: | |
| logging_steps: 1 | |
| flash_attention: true | |
| loss_watchdog_threshold: 5.0 | |
| loss_watchdog_patience: 3 | |
| warmup_steps: 10 | |
| evals_per_epoch: 5 | |
| saves_per_epoch: 2 | |
| weight_decay: 0.0 | |
| special_tokens: | |
| bos_token: "<s>" | |
| eos_token: "</s>" | |