---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- generated_from_trainer
model-index:
- name: train_copa_1757340252
  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_copa_1757340252

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1652
- Num Input Tokens Seen: 281984

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 0.2013        | 0.5   | 45   | 0.1095          | 14240             |
| 0.2033        | 1.0   | 90   | 0.0885          | 28192             |
| 0.0778        | 1.5   | 135  | 0.0860          | 42080             |
| 0.1119        | 2.0   | 180  | 0.0777          | 56192             |
| 0.0346        | 2.5   | 225  | 0.0823          | 70048             |
| 0.1199        | 3.0   | 270  | 0.0711          | 84192             |
| 0.0165        | 3.5   | 315  | 0.1047          | 98304             |
| 0.0248        | 4.0   | 360  | 0.1218          | 112544            |
| 0.003         | 4.5   | 405  | 0.1436          | 126784            |
| 0.0269        | 5.0   | 450  | 0.1350          | 140960            |
| 0.0008        | 5.5   | 495  | 0.1389          | 155200            |
| 0.027         | 6.0   | 540  | 0.1530          | 169216            |
| 0.0006        | 6.5   | 585  | 0.1628          | 183232            |
| 0.0002        | 7.0   | 630  | 0.1684          | 197248            |
| 0.0006        | 7.5   | 675  | 0.1641          | 211424            |
| 0.1687        | 8.0   | 720  | 0.1717          | 225440            |
| 0.0001        | 8.5   | 765  | 0.1706          | 239392            |
| 0.0014        | 9.0   | 810  | 0.1723          | 253632            |
| 0.0004        | 9.5   | 855  | 0.1679          | 267680            |
| 0.0003        | 10.0  | 900  | 0.1652          | 281984            |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1