| | --- |
| | library_name: peft |
| | license: llama3 |
| | base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| | tags: |
| | - llama-factory |
| | - prefix-tuning |
| | - generated_from_trainer |
| | model-index: |
| | - name: train_codealpacapy_789_1767616167 |
| | 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_1767616167 |
| | |
| | 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: 0.6284 |
| | - Num Input Tokens Seen: 21981320 |
| | |
| | ## 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: 1e-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 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
| | | 0.6441 | 2.0 | 3392 | 0.5280 | 2199016 | |
| | | 0.4641 | 4.0 | 6784 | 0.5045 | 4393784 | |
| | | 0.4362 | 6.0 | 10176 | 0.5032 | 6595976 | |
| | | 0.4142 | 8.0 | 13568 | 0.5134 | 8792592 | |
| | | 0.2648 | 10.0 | 16960 | 0.5319 | 10994984 | |
| | | 0.304 | 12.0 | 20352 | 0.5534 | 13192800 | |
| | | 0.2875 | 14.0 | 23744 | 0.5814 | 15387192 | |
| | | 0.4434 | 16.0 | 27136 | 0.6058 | 17580200 | |
| | | 0.3317 | 18.0 | 30528 | 0.6231 | 19780824 | |
| | | 0.2477 | 20.0 | 33920 | 0.6284 | 21981320 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.15.2 |
| | - Transformers 4.51.3 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
