| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: unsloth/mistral-7b |
| | tags: |
| | - axolotl |
| | - generated_from_trainer |
| | model-index: |
| | - name: test-mistral-7b |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.5.2` |
| | ```yaml |
| | adapter: lora |
| | base_model: unsloth/mistral-7b |
| | bf16: auto |
| | datasets: |
| | - data_files: |
| | - 8219297a1f15c78f_train_data.json |
| | ds_type: json |
| | format: custom |
| | path: 8219297a1f15c78f_train_data.json |
| | preprocessing: |
| | - shuffle: true |
| | type: |
| | field: null |
| | field_input: null |
| | field_instruction: prompt |
| | field_output: response |
| | field_system: null |
| | format: null |
| | no_input_format: null |
| | system_format: '{system}' |
| | system_prompt: '' |
| | debug: null |
| | device_map: auto |
| | early_stopping_patience: null |
| | eval_max_new_tokens: 16 |
| | eval_table_max_new_tokens: 128 |
| | eval_table_size: null |
| | evals_per_epoch: 8 |
| | flash_attention: true |
| | fp16: null |
| | fsdp: null |
| | fsdp_config: null |
| | gradient_accumulation_steps: 4 |
| | gradient_checkpointing: true |
| | group_by_length: false |
| | hub_model_id: taopanda/test-mistral-7b |
| | is_mistral_derived_model: true |
| | learning_rate: 0.0005 |
| | load_in_4bit: false |
| | load_in_8bit: false |
| | local_rank: null |
| | logging_steps: 1 |
| | lora_alpha: 128 |
| | lora_dropout: 0.05 |
| | lora_r: 64 |
| | lora_target_modules: |
| | - q_proj |
| | - v_proj |
| | lr_scheduler: cosine |
| | max_grad_norm: 1.0 |
| | max_steps: 450 |
| | micro_batch_size: 4 |
| | model_type: MistralForCausalLM |
| | num_epochs: 1 |
| | optimizer: adamw_torch |
| | output_dir: ./out/taopanda_test-mistral-7b |
| | pad_to_sequence_len: true |
| | resume_from_checkpoint: null |
| | save_steps: 0.15 |
| | save_total_limit: 1 |
| | seed: 42 |
| | sequence_len: 1024 |
| | special_tokens: |
| | bos_token: <s> |
| | eos_token: </s> |
| | unk_token: <unk> |
| | strict: false |
| | tf32: true |
| | tokenizer_type: AutoTokenizer |
| | train_on_inputs: false |
| | trust_remote_code: true |
| | use_flash_attn_2: true |
| | val_set_size: 0.1 |
| | wandb_entity: fatcat87-taopanda |
| | wandb_log_model: null |
| | wandb_mode: online |
| | wandb_name: taopanda_test-mistral-7b |
| | wandb_project: subnet56-test |
| | wandb_runid: taopanda_test-mistral-7b |
| | wandb_watch: null |
| | warmup_ratio: 0.06 |
| | weight_decay: 0.01 |
| | xformers_attention: null |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # test-mistral-7b |
| |
|
| | This model is a fine-tuned version of [unsloth/mistral-7b](https://huggingface.co/unsloth/mistral-7b) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6985 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0005 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 16 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 5 |
| | - training_steps: 87 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.0651 | 0.0116 | 1 | 1.0560 | |
| | | 0.7617 | 0.1272 | 11 | 0.7764 | |
| | | 0.7784 | 0.2543 | 22 | 0.7421 | |
| | | 0.6848 | 0.3815 | 33 | 0.7290 | |
| | | 0.7263 | 0.5087 | 44 | 0.7161 | |
| | | 0.7062 | 0.6358 | 55 | 0.7074 | |
| | | 0.7281 | 0.7630 | 66 | 0.7020 | |
| | | 0.7402 | 0.8902 | 77 | 0.6985 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.13.2 |
| | - Transformers 4.46.3 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
