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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lntuning
- generated_from_trainer
model-index:
- name: train_codealpacapy_1754507521
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_1754507521
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: 0.4833
- Num Input Tokens Seen: 12472912
## 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: 123
- 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.6575 | 0.5 | 954 | 0.6278 | 616992 |
| 0.6347 | 1.0 | 1908 | 0.5514 | 1248304 |
| 0.5265 | 1.5 | 2862 | 0.5263 | 1877040 |
| 0.4717 | 2.0 | 3816 | 0.5128 | 2497016 |
| 0.6225 | 2.5 | 4770 | 0.5046 | 3129368 |
| 0.4337 | 3.0 | 5724 | 0.4989 | 3742552 |
| 0.4868 | 3.5 | 6678 | 0.4947 | 4361944 |
| 0.4298 | 4.0 | 7632 | 0.4916 | 4985200 |
| 0.5116 | 4.5 | 8586 | 0.4893 | 5611760 |
| 0.494 | 5.0 | 9540 | 0.4879 | 6233920 |
| 0.4493 | 5.5 | 10494 | 0.4866 | 6849184 |
| 0.4835 | 6.0 | 11448 | 0.4856 | 7478504 |
| 0.3614 | 6.5 | 12402 | 0.4851 | 8083560 |
| 0.4523 | 7.0 | 13356 | 0.4842 | 8722744 |
| 0.4158 | 7.5 | 14310 | 0.4838 | 9345976 |
| 0.7811 | 8.0 | 15264 | 0.4836 | 9977520 |
| 0.2548 | 8.5 | 16218 | 0.4834 | 10604656 |
| 0.4824 | 9.0 | 17172 | 0.4833 | 11225416 |
| 0.3894 | 9.5 | 18126 | 0.4835 | 11845704 |
| 0.6659 | 10.0 | 19080 | 0.4833 | 12472912 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |