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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 |