---
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_f4
  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_f4

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: 1.9369

## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 1.7536        | 0.1907 | 1000  | 1.9369          |
| 1.3797        | 0.3813 | 2000  | 2.0320          |
| 1.0216        | 0.5720 | 3000  | 2.1529          |
| 0.6624        | 0.7626 | 4000  | 2.3760          |
| 0.3893        | 0.9533 | 5000  | 2.7429          |
| 0.1995        | 1.1439 | 6000  | 2.9766          |
| 0.1703        | 1.3346 | 7000  | 3.0843          |
| 0.1489        | 1.5253 | 8000  | 3.1774          |
| 0.1249        | 1.7159 | 9000  | 3.3298          |
| 0.1168        | 1.9066 | 10000 | 3.4572          |
| 0.0977        | 2.0972 | 11000 | 3.5885          |
| 0.0951        | 2.2879 | 12000 | 3.6941          |
| 0.092         | 2.4786 | 13000 | 3.7847          |
| 0.0894        | 2.6692 | 14000 | 3.9039          |
| 0.086         | 2.8599 | 15000 | 3.9903          |


### Framework versions

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