| base_model: /workspace/mistral-11b-base | |
| model_type: MistralForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| is_mistral_derived_model: true | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| datasets: | |
| - path: Open-Orca/SlimOrca | |
| type: sharegpt | |
| conversation: mistral | |
| dataset_prepared_path: | |
| val_set_size: 0.005 | |
| output_dir: ./out | |
| sequence_len: 8192 | |
| sample_packing: true | |
| pad_to_sequence_len: true | |
| wandb_project: mistral-11b-noresidual | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| gradient_accumulation_steps: 16 | |
| micro_batch_size: 1 | |
| num_epochs: 2 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.000005 | |
| train_on_inputs: true | |
| group_by_length: false | |
| bf16: true | |
| fp16: false | |
| tf32: false | |
| gradient_checkpointing: true | |
| flash_attention: true | |
| logging_steps: 1 | |
| warmup_steps: 10 | |
| eval_steps: 100 | |
| save_steps: 100 | |
| weight_decay: 0.0 | |
| special_tokens: | |
| bos_token: "<s>" | |
| eos_token: "</s>" | |
| unk_token: "<unk>" | |