| | --- |
| | library_name: peft |
| | license: llama3 |
| | base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| | tags: |
| | - llama-factory |
| | - p-tuning |
| | - generated_from_trainer |
| | model-index: |
| | - name: train_codealpacapy_101112_1770438262 |
| | 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. --> |
| |
|
| | # train_codealpacapy_101112_1770438262 |
| | |
| | This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the codealpacapy dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.6960 |
| | - Num Input Tokens Seen: 24913312 |
| | |
| | ## 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: 0.001 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 101112 |
| | - optimizer: Use 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_ratio: 0.1 |
| | - num_epochs: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
| | | 0.6502 | 1.0 | 1908 | 0.5047 | 1245424 | |
| | | 0.5121 | 2.0 | 3816 | 0.4964 | 2489840 | |
| | | 0.4514 | 3.0 | 5724 | 0.4886 | 3736568 | |
| | | 0.4348 | 4.0 | 7632 | 0.4900 | 4984176 | |
| | | 0.4158 | 5.0 | 9540 | 0.4862 | 6229240 | |
| | | 0.4036 | 6.0 | 11448 | 0.4906 | 7476480 | |
| | | 0.425 | 7.0 | 13356 | 0.4846 | 8722408 | |
| | | 0.4785 | 8.0 | 15264 | 0.4832 | 9967176 | |
| | | 0.3771 | 9.0 | 17172 | 0.4847 | 11214472 | |
| | | 0.3931 | 10.0 | 19080 | 0.4845 | 12463312 | |
| | | 0.5228 | 11.0 | 20988 | 0.4846 | 13708664 | |
| | | 0.4694 | 12.0 | 22896 | 0.4867 | 14951560 | |
| | | 0.471 | 13.0 | 24804 | 0.4856 | 16193456 | |
| | | 0.4008 | 14.0 | 26712 | 0.4889 | 17439088 | |
| | | 0.4933 | 15.0 | 28620 | 0.4885 | 18687760 | |
| | | 0.3565 | 16.0 | 30528 | 0.4923 | 19936088 | |
| | | 0.3716 | 17.0 | 32436 | 0.4926 | 21184936 | |
| | | 0.3937 | 18.0 | 34344 | 0.4931 | 22429992 | |
| | | 0.3256 | 19.0 | 36252 | 0.4940 | 23671264 | |
| | | 0.3567 | 20.0 | 38160 | 0.4942 | 24913312 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.15.2 |
| | - Transformers 4.51.3 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
