---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_wsc_123_1760351015
  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_wsc_123_1760351015

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 wsc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3529
- Num Input Tokens Seen: 490000

## 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: 0.03
- train_batch_size: 4
- eval_batch_size: 4
- 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: 10.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 2.8259        | 0.504  | 63   | 2.4234          | 25504             |
| 0.7315        | 1.008  | 126  | 0.5473          | 49696             |
| 1.1616        | 1.512  | 189  | 0.5321          | 74112             |
| 0.4384        | 2.016  | 252  | 0.3678          | 99136             |
| 0.384         | 2.52   | 315  | 0.3612          | 123904            |
| 0.4165        | 3.024  | 378  | 0.4323          | 148736            |
| 0.4076        | 3.528  | 441  | 0.4275          | 174432            |
| 0.3432        | 4.032  | 504  | 0.3646          | 198656            |
| 0.355         | 4.536  | 567  | 0.3839          | 224032            |
| 0.355         | 5.04   | 630  | 0.3732          | 247424            |
| 0.3847        | 5.5440 | 693  | 0.3541          | 271232            |
| 0.4328        | 6.048  | 756  | 0.3728          | 295728            |
| 0.3633        | 6.552  | 819  | 0.3550          | 320464            |
| 0.2882        | 7.056  | 882  | 0.5431          | 345856            |
| 0.3561        | 7.5600 | 945  | 0.3561          | 371040            |
| 0.3555        | 8.064  | 1008 | 0.3574          | 395216            |
| 0.3562        | 8.568  | 1071 | 0.3547          | 419184            |
| 0.3731        | 9.072  | 1134 | 0.3622          | 444560            |
| 0.3406        | 9.576  | 1197 | 0.3529          | 469104            |


### Framework versions

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