| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - dsaunders23/ChessAlpacaPrediction |
| model-index: |
| - name: outputs/mymodel |
| 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: `0.8.0.dev0` |
| ```yaml |
| base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
| datasets: |
| - path: dsaunders23/ChessAlpacaPrediction |
| type: alpaca |
| output_dir: ./outputs/mymodel |
| |
| sequence_len: 4096 |
| adapter: lora |
| |
| lora_r: 8 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_target_modules: |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| - gate_proj |
| - down_proj |
| - up_proj |
| |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 16 |
| num_epochs: 1 |
| optimizer: adamw_bnb_8bit |
| learning_rate: 0.0002 |
| load_in_8bit: true |
| train_on_inputs: false |
| bf16: auto |
| |
| ``` |
|
|
| </details><br> |
|
|
| # outputs/mymodel |
|
|
| This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the dsaunders23/ChessAlpacaPrediction dataset. |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - 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: 3 |
| - num_epochs: 1.0 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.14.0 |
| - Transformers 4.49.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
