| --- |
| library_name: peft |
| base_model: jhflow/mistral7b-lora-multi-turn-v2 |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: 5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 |
| 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: `0.10.0.dev0` |
| ```yaml |
| adapter: lora |
| base_model: jhflow/mistral7b-lora-multi-turn-v2 |
| bf16: true |
| chat_template: llama3 |
| datasets: |
| - data_files: |
| - 073ecb803828cfed_train_data.json |
| ds_type: json |
| format: custom |
| path: /workspace/input_data/ |
| type: |
| field_input: input |
| field_instruction: instruct |
| field_output: output |
| format: '{instruction} {input}' |
| no_input_format: '{instruction}' |
| system_format: '{system}' |
| system_prompt: '' |
| eval_max_new_tokens: 256 |
| evals_per_epoch: 2 |
| flash_attention: false |
| fp16: false |
| gradient_accumulation_steps: 1 |
| gradient_checkpointing: true |
| group_by_length: true |
| hub_model_id: apriasmoro/5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 |
| learning_rate: 0.0002 |
| logging_steps: 10 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_fan_in_fan_out: false |
| lora_r: 8 |
| lora_target_linear: true |
| lr_scheduler: cosine |
| max_steps: 269 |
| micro_batch_size: 4 |
| mlflow_experiment_name: /tmp/073ecb803828cfed_train_data.json |
| model_type: AutoModelForCausalLM |
| num_epochs: 3 |
| optimizer: adamw_bnb_8bit |
| output_dir: miner_id_24 |
| pad_to_sequence_len: true |
| sample_packing: false |
| save_steps: 67 |
| sequence_len: 2048 |
| tf32: true |
| tokenizer_type: AutoTokenizer |
| train_on_inputs: false |
| trust_remote_code: true |
| val_set_size: 0.05 |
| wandb_entity: null |
| wandb_mode: online |
| wandb_name: 589dc2a5-c919-4731-be25-e0afc45a1708 |
| wandb_project: Gradients-On-Demand |
| wandb_run: apriasmoro |
| wandb_runid: 589dc2a5-c919-4731-be25-e0afc45a1708 |
| warmup_steps: 100 |
| weight_decay: 0.01 |
| |
| ``` |
|
|
| </details><br> |
|
|
| # 5401ffa9-6e3d-478c-aac2-e3aff6d7efc7 |
|
|
| This model is a fine-tuned version of [jhflow/mistral7b-lora-multi-turn-v2](https://huggingface.co/jhflow/mistral7b-lora-multi-turn-v2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5244 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_BNB 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: 100 |
| - training_steps: 269 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | No log | 0.0045 | 1 | 0.9024 | |
| | 0.6584 | 0.2036 | 45 | 0.6136 | |
| | 0.5876 | 0.4072 | 90 | 0.5672 | |
| | 0.5148 | 0.6109 | 135 | 0.5598 | |
| | 0.4828 | 0.8145 | 180 | 0.5327 | |
| | 0.5225 | 1.0181 | 225 | 0.5244 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.51.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.5.1 |
| - Tokenizers 0.21.1 |
