---
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_1760638004
  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_1760638004

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: 0.2142
- 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| 2.4702        | 1.0   | 158  | 2.4417          | 71552             |
| 1.5492        | 2.0   | 316  | 1.5887          | 142960            |
| 0.8332        | 3.0   | 474  | 0.9196          | 214432            |
| 0.4267        | 4.0   | 632  | 0.5329          | 286000            |
| 0.2682        | 5.0   | 790  | 0.3736          | 357888            |
| 0.1618        | 6.0   | 948  | 0.3068          | 429456            |
| 0.1109        | 7.0   | 1106 | 0.2751          | 501136            |
| 0.1032        | 8.0   | 1264 | 0.2582          | 573104            |
| 0.1209        | 9.0   | 1422 | 0.2467          | 644752            |
| 0.1224        | 10.0  | 1580 | 0.2368          | 716192            |
| 0.0463        | 11.0  | 1738 | 0.2299          | 787200            |
| 0.1375        | 12.0  | 1896 | 0.2260          | 858736            |
| 0.1195        | 13.0  | 2054 | 0.2231          | 930160            |
| 0.0919        | 14.0  | 2212 | 0.2209          | 1001792           |
| 0.0831        | 15.0  | 2370 | 0.2172          | 1073248           |
| 0.0659        | 16.0  | 2528 | 0.2180          | 1144672           |
| 0.0959        | 17.0  | 2686 | 0.2169          | 1216160           |
| 0.0386        | 18.0  | 2844 | 0.2155          | 1287728           |
| 0.0871        | 19.0  | 3002 | 0.2143          | 1359120           |
| 0.0834        | 20.0  | 3160 | 0.2142          | 1430592           |


### Framework versions

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