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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 |