---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_copa_1757340203
  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_1757340203

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 copa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0366
- Num Input Tokens Seen: 547136

## 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: 2
- eval_batch_size: 2
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 0.2307        | 1.0   | 180  | 0.2443          | 27408             |
| 0.2399        | 2.0   | 360  | 0.2335          | 54752             |
| 0.2437        | 3.0   | 540  | 0.2357          | 82176             |
| 0.2275        | 4.0   | 720  | 0.2330          | 109584            |
| 0.2341        | 5.0   | 900  | 0.2357          | 137008            |
| 0.236         | 6.0   | 1080 | 0.2312          | 164336            |
| 0.2103        | 7.0   | 1260 | 0.2379          | 191712            |
| 0.24          | 8.0   | 1440 | 0.2418          | 219072            |
| 0.231         | 9.0   | 1620 | 0.2355          | 246416            |
| 0.2325        | 10.0  | 1800 | 0.2340          | 273712            |
| 0.2153        | 11.0  | 1980 | 0.2357          | 301088            |
| 0.3359        | 12.0  | 2160 | 0.3374          | 328384            |
| 0.2397        | 13.0  | 2340 | 0.2423          | 355760            |
| 0.1748        | 14.0  | 2520 | 0.2951          | 383088            |
| 0.0885        | 15.0  | 2700 | 0.3874          | 410448            |
| 0.1848        | 16.0  | 2880 | 0.6436          | 437776            |
| 0.0092        | 17.0  | 3060 | 0.8915          | 465168            |
| 0.0543        | 18.0  | 3240 | 1.0006          | 492560            |
| 0.1114        | 19.0  | 3420 | 1.0362          | 519840            |
| 0.0002        | 20.0  | 3600 | 1.0366          | 547136            |


### Framework versions

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