---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: rationale_model_e3_save5000_f2
  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. -->

# rationale_model_e3_save5000_f2

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: 1.9490

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.755         | 0.1907 | 1000  | 1.9490          |
| 1.4087        | 0.3815 | 2000  | 2.0212          |
| 0.9951        | 0.5722 | 3000  | 2.2073          |
| 0.6546        | 0.7629 | 4000  | 2.4321          |
| 0.3825        | 0.9537 | 5000  | 2.7536          |
| 0.2015        | 1.1444 | 6000  | 2.9396          |
| 0.1741        | 1.3351 | 7000  | 3.0700          |
| 0.1463        | 1.5258 | 8000  | 3.1767          |
| 0.1305        | 1.7166 | 9000  | 3.3858          |
| 0.1178        | 1.9073 | 10000 | 3.4989          |
| 0.0991        | 2.0980 | 11000 | 3.5767          |
| 0.0961        | 2.2888 | 12000 | 3.7036          |
| 0.095         | 2.4795 | 13000 | 3.8034          |
| 0.0894        | 2.6702 | 14000 | 3.9220          |
| 0.0862        | 2.8610 | 15000 | 3.9916          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3