---
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_svamp_101112_1760638001
  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_svamp_101112_1760638001

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 svamp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2259
- Num Input Tokens Seen: 1430592

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 0.2239        | 1.0   | 158  | 0.2943          | 71552             |
| 0.246         | 2.0   | 316  | 0.2062          | 142960            |
| 0.0528        | 3.0   | 474  | 0.1448          | 214432            |
| 0.0997        | 4.0   | 632  | 0.1533          | 286000            |
| 0.0227        | 5.0   | 790  | 0.1559          | 357888            |
| 0.0387        | 6.0   | 948  | 0.1550          | 429456            |
| 0.0222        | 7.0   | 1106 | 0.1580          | 501136            |
| 0.0233        | 8.0   | 1264 | 0.1943          | 573104            |
| 0.0281        | 9.0   | 1422 | 0.2004          | 644752            |
| 0.036         | 10.0  | 1580 | 0.1924          | 716192            |
| 0.0096        | 11.0  | 1738 | 0.2382          | 787200            |
| 0.0017        | 12.0  | 1896 | 0.2249          | 858736            |
| 0.001         | 13.0  | 2054 | 0.2267          | 930160            |
| 0.0012        | 14.0  | 2212 | 0.2471          | 1001792           |
| 0.0017        | 15.0  | 2370 | 0.2629          | 1073248           |
| 0.0002        | 16.0  | 2528 | 0.2719          | 1144672           |
| 0.0003        | 17.0  | 2686 | 0.2751          | 1216160           |
| 0.0003        | 18.0  | 2844 | 0.2769          | 1287728           |
| 0.0005        | 19.0  | 3002 | 0.2809          | 1359120           |
| 0.0001        | 20.0  | 3160 | 0.2799          | 1430592           |


### Framework versions

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