---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: model_output_luh2
  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. -->

# model_output_luh2

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9295

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.5118        | 0.2385 | 5000  | 1.9295          |
| 0.9663        | 0.4769 | 10000 | 2.1287          |
| 0.5362        | 0.7154 | 15000 | 2.4146          |
| 0.2763        | 0.9539 | 20000 | 2.8170          |
| 0.1798        | 1.1923 | 25000 | 3.0370          |
| 0.1565        | 1.4308 | 30000 | 3.1830          |
| 0.143         | 1.6693 | 35000 | 3.2466          |
| 0.1259        | 1.9078 | 40000 | 3.3591          |
| 0.1062        | 2.1462 | 45000 | 3.5343          |
| 0.0987        | 2.3847 | 50000 | 3.7228          |
| 0.0934        | 2.6232 | 55000 | 3.8807          |
| 0.0901        | 2.8616 | 60000 | 3.9691          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.16.1
- Tokenizers 0.20.3