| | --- |
| | library_name: peft |
| | license: llama3 |
| | base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| | tags: |
| | - llama-factory |
| | - ia3 |
| | - generated_from_trainer |
| | model-index: |
| | - name: train_codealpacapy_789_1767696355 |
| | 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_789_1767696355 |
| | |
| | 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: 0.4895 |
| | - Num Input Tokens Seen: 24964664 |
| | |
| | ## 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: 5e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 789 |
| | - 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
| | | 0.7402 | 1.0 | 1908 | 0.7119 | 1246616 | |
| | | 0.558 | 2.0 | 3816 | 0.5744 | 2496088 | |
| | | 0.5171 | 3.0 | 5724 | 0.5381 | 3746728 | |
| | | 0.6385 | 4.0 | 7632 | 0.5215 | 4999712 | |
| | | 0.4991 | 5.0 | 9540 | 0.5123 | 6245072 | |
| | | 0.5417 | 6.0 | 11448 | 0.5062 | 7491776 | |
| | | 0.4968 | 7.0 | 13356 | 0.5018 | 8735728 | |
| | | 0.4574 | 8.0 | 15264 | 0.4986 | 9981168 | |
| | | 0.609 | 9.0 | 17172 | 0.4963 | 11227560 | |
| | | 0.4804 | 10.0 | 19080 | 0.4946 | 12474576 | |
| | | 0.378 | 11.0 | 20988 | 0.4932 | 13719896 | |
| | | 0.6324 | 12.0 | 22896 | 0.4920 | 14970024 | |
| | | 0.434 | 13.0 | 24804 | 0.4912 | 16222408 | |
| | | 0.5615 | 14.0 | 26712 | 0.4906 | 17474664 | |
| | | 0.5465 | 15.0 | 28620 | 0.4903 | 18722440 | |
| | | 0.439 | 16.0 | 30528 | 0.4898 | 19970248 | |
| | | 0.5256 | 17.0 | 32436 | 0.4899 | 21217120 | |
| | | 0.4535 | 18.0 | 34344 | 0.4896 | 22462808 | |
| | | 0.4042 | 19.0 | 36252 | 0.4895 | 23715264 | |
| | | 0.668 | 20.0 | 38160 | 0.4899 | 24964664 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.15.2 |
| | - Transformers 4.51.3 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
