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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_42_1760719585
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_42_1760719585
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: 0.4525
- Num Input Tokens Seen: 24887720
## 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: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
| 0.5784 | 1.0 | 1908 | 0.5529 | 1243048 |
| 0.3809 | 2.0 | 3816 | 0.4983 | 2489456 |
| 0.4314 | 3.0 | 5724 | 0.4791 | 3733736 |
| 0.5146 | 4.0 | 7632 | 0.4709 | 4976128 |
| 0.5703 | 5.0 | 9540 | 0.4652 | 6219592 |
| 0.616 | 6.0 | 11448 | 0.4614 | 7467968 |
| 0.487 | 7.0 | 13356 | 0.4585 | 8709168 |
| 0.4804 | 8.0 | 15264 | 0.4569 | 9958360 |
| 0.4684 | 9.0 | 17172 | 0.4552 | 11204000 |
| 0.4914 | 10.0 | 19080 | 0.4542 | 12446408 |
| 0.3796 | 11.0 | 20988 | 0.4539 | 13691904 |
| 0.4404 | 12.0 | 22896 | 0.4535 | 14937216 |
| 0.6154 | 13.0 | 24804 | 0.4534 | 16179624 |
| 0.4073 | 14.0 | 26712 | 0.4528 | 17425368 |
| 0.3595 | 15.0 | 28620 | 0.4529 | 18668536 |
| 0.4605 | 16.0 | 30528 | 0.4528 | 19916008 |
| 0.2781 | 17.0 | 32436 | 0.4528 | 21158120 |
| 0.4609 | 18.0 | 34344 | 0.4528 | 22400368 |
| 0.4204 | 19.0 | 36252 | 0.4525 | 23645440 |
| 0.3394 | 20.0 | 38160 | 0.4527 | 24887720 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1 |