---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_copa_101112_1760637991
  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_101112_1760637991

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: 0.0305
- Num Input Tokens Seen: 562848

## 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: 101112
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 0.9281        | 1.0   | 90   | 0.5497          | 28192             |
| 0.068         | 2.0   | 180  | 0.0412          | 56256             |
| 0.0154        | 3.0   | 270  | 0.0333          | 84320             |
| 0.0329        | 4.0   | 360  | 0.0329          | 112416            |
| 0.0093        | 5.0   | 450  | 0.0326          | 140544            |
| 0.0023        | 6.0   | 540  | 0.0314          | 168768            |
| 0.0313        | 7.0   | 630  | 0.0322          | 196896            |
| 0.0137        | 8.0   | 720  | 0.0314          | 225024            |
| 0.0757        | 9.0   | 810  | 0.0309          | 253152            |
| 0.1181        | 10.0  | 900  | 0.0314          | 281312            |
| 0.0914        | 11.0  | 990  | 0.0323          | 309280            |
| 0.071         | 12.0  | 1080 | 0.0323          | 337536            |
| 0.0213        | 13.0  | 1170 | 0.0314          | 365632            |
| 0.0429        | 14.0  | 1260 | 0.0324          | 393632            |
| 0.191         | 15.0  | 1350 | 0.0314          | 421696            |
| 0.0206        | 16.0  | 1440 | 0.0305          | 449984            |
| 0.0522        | 17.0  | 1530 | 0.0313          | 478016            |
| 0.0282        | 18.0  | 1620 | 0.0316          | 506272            |
| 0.0144        | 19.0  | 1710 | 0.0313          | 534432            |
| 0.0631        | 20.0  | 1800 | 0.0312          | 562848            |


### Framework versions

- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4