---
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_456_1760356427
  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_456_1760356427

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: 0.3275
- Num Input Tokens Seen: 485152

## 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: 456
- 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 |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.9258        | 0.504  | 63   | 0.3463          | 24704             |
| 0.4236        | 1.008  | 126  | 0.3752          | 48688             |
| 0.3432        | 1.512  | 189  | 0.3334          | 73456             |
| 0.3609        | 2.016  | 252  | 0.3276          | 97568             |
| 0.3639        | 2.52   | 315  | 0.3736          | 121888            |
| 0.3418        | 3.024  | 378  | 0.3296          | 146336            |
| 0.3506        | 3.528  | 441  | 0.3275          | 172480            |
| 0.377         | 4.032  | 504  | 0.3651          | 196240            |
| 0.3479        | 4.536  | 567  | 0.3568          | 221136            |
| 0.3271        | 5.04   | 630  | 0.3355          | 244736            |
| 0.3529        | 5.5440 | 693  | 0.3348          | 268480            |
| 0.3433        | 6.048  | 756  | 0.3435          | 293424            |
| 0.354         | 6.552  | 819  | 0.3450          | 317840            |
| 0.348         | 7.056  | 882  | 0.3411          | 342384            |
| 0.3469        | 7.5600 | 945  | 0.3402          | 366288            |
| 0.342         | 8.064  | 1008 | 0.3410          | 391840            |
| 0.3469        | 8.568  | 1071 | 0.3438          | 416320            |
| 0.3467        | 9.072  | 1134 | 0.3437          | 440048            |
| 0.3497        | 9.576  | 1197 | 0.3431          | 464688            |


### Framework versions

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