| --- |
| license: llama3 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: meta-llama/Meta-Llama-3-8B |
| model-index: |
| - name: query |
| 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. --> |
|
|
| # query |
|
|
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3182 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 32 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 4 | 14.3920 | |
| | No log | 2.0 | 8 | 13.2479 | |
| | No log | 3.0 | 12 | 12.0852 | |
| | No log | 4.0 | 16 | 10.4945 | |
| | No log | 5.0 | 20 | 8.7942 | |
| | No log | 6.0 | 24 | 6.9466 | |
| | No log | 7.0 | 28 | 4.9444 | |
| | No log | 8.0 | 32 | 2.8411 | |
| | No log | 9.0 | 36 | 1.2720 | |
| | No log | 10.0 | 40 | 0.7259 | |
| | No log | 11.0 | 44 | 0.5651 | |
| | No log | 12.0 | 48 | 0.5014 | |
| | No log | 13.0 | 52 | 0.4775 | |
| | No log | 14.0 | 56 | 0.4608 | |
| | No log | 15.0 | 60 | 0.4456 | |
| | No log | 16.0 | 64 | 0.4314 | |
| | No log | 17.0 | 68 | 0.4171 | |
| | No log | 18.0 | 72 | 0.4032 | |
| | No log | 19.0 | 76 | 0.3910 | |
| | No log | 20.0 | 80 | 0.3808 | |
| | No log | 21.0 | 84 | 0.3719 | |
| | No log | 22.0 | 88 | 0.3638 | |
| | No log | 23.0 | 92 | 0.3561 | |
| | No log | 24.0 | 96 | 0.3491 | |
| | No log | 25.0 | 100 | 0.3426 | |
| | No log | 26.0 | 104 | 0.3370 | |
| | No log | 27.0 | 108 | 0.3320 | |
| | No log | 28.0 | 112 | 0.3278 | |
| | No log | 29.0 | 116 | 0.3241 | |
| | No log | 30.0 | 120 | 0.3216 | |
| | No log | 31.0 | 124 | 0.3195 | |
| | No log | 32.0 | 128 | 0.3182 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.41.1 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
