---
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_winogrande_101112_1760638067
  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_winogrande_101112_1760638067

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 winogrande dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2432
- Num Input Tokens Seen: 34100624

## 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: 1e-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 |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.2238        | 2.0   | 16160  | 0.2324          | 3410576           |
| 0.2434        | 4.0   | 32320  | 0.2204          | 6820640           |
| 0.1744        | 6.0   | 48480  | 0.1129          | 10230096          |
| 0.0037        | 8.0   | 64640  | 0.0676          | 13639760          |
| 0.0006        | 10.0  | 80800  | 0.0786          | 17048912          |
| 0.063         | 12.0  | 96960  | 0.1006          | 20458720          |
| 0.0001        | 14.0  | 113120 | 0.1434          | 23869008          |
| 0.0           | 16.0  | 129280 | 0.1929          | 27280464          |
| 0.0           | 18.0  | 145440 | 0.2320          | 30690528          |
| 0.0           | 20.0  | 161600 | 0.2432          | 34100624          |


### Framework versions

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