---
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_101112_1760351840
  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_101112_1760351840

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: 0.3449
- Num Input Tokens Seen: 488816

## 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: 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: 10.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.4762        | 0.504  | 63   | 0.4047          | 24608             |
| 0.346         | 1.008  | 126  | 0.3474          | 49296             |
| 0.5915        | 1.512  | 189  | 0.3491          | 74672             |
| 0.36          | 2.016  | 252  | 0.3449          | 98816             |
| 0.6543        | 2.52   | 315  | 0.3493          | 123680            |
| 0.3336        | 3.024  | 378  | 0.4224          | 147776            |
| 0.3359        | 3.528  | 441  | 0.3620          | 173312            |
| 0.386         | 4.032  | 504  | 0.3593          | 197728            |
| 0.3477        | 4.536  | 567  | 0.3515          | 222560            |
| 0.3466        | 5.04   | 630  | 0.3489          | 246848            |
| 0.3566        | 5.5440 | 693  | 0.3491          | 271008            |
| 0.3451        | 6.048  | 756  | 0.3467          | 295984            |
| 0.3555        | 6.552  | 819  | 0.3466          | 320080            |
| 0.3478        | 7.056  | 882  | 0.3523          | 345136            |
| 0.3544        | 7.5600 | 945  | 0.3477          | 370416            |
| 0.3546        | 8.064  | 1008 | 0.3495          | 394688            |
| 0.3436        | 8.568  | 1071 | 0.3511          | 418880            |
| 0.3359        | 9.072  | 1134 | 0.3496          | 444304            |
| 0.3421        | 9.576  | 1197 | 0.3495          | 469328            |


### Framework versions

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