---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- peft-factory
- full
- llama-factory
- generated_from_trainer
model-index:
- name: train_cola_42_1776331560
  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_cola_42_1776331560

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the cola dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1763
- Num Input Tokens Seen: 1932608

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.2021        | 0.2505 | 241  | 0.2780          | 97664             |
| 0.2402        | 0.5010 | 482  | 0.2002          | 194560            |
| 0.1906        | 0.7516 | 723  | 0.2094          | 291712            |
| 0.2397        | 1.0021 | 964  | 0.1763          | 387464            |
| 0.0622        | 1.2526 | 1205 | 0.2676          | 485192            |
| 0.0911        | 1.5031 | 1446 | 0.3146          | 581704            |
| 0.1042        | 1.7536 | 1687 | 0.2114          | 677576            |
| 0.096         | 2.0042 | 1928 | 0.3562          | 775312            |
| 0.0094        | 2.2547 | 2169 | 0.3035          | 873104            |
| 0.0894        | 2.5052 | 2410 | 0.3649          | 969360            |
| 0.0705        | 2.7557 | 2651 | 0.3061          | 1065232           |
| 0.0016        | 3.0062 | 2892 | 0.2698          | 1162016           |
| 0.0469        | 3.2568 | 3133 | 0.3603          | 1259168           |
| 0.0682        | 3.5073 | 3374 | 0.4128          | 1355552           |
| 0.0128        | 3.7578 | 3615 | 0.3697          | 1453088           |
| 0.0238        | 4.0083 | 3856 | 0.3716          | 1549360           |
| 0.0           | 4.2588 | 4097 | 0.4492          | 1645808           |
| 0.0202        | 4.5094 | 4338 | 0.4368          | 1742960           |
| 0.0001        | 4.7599 | 4579 | 0.4381          | 1839344           |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4