---
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_f3
  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_f3

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: 1.9449

## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 1.7548        | 0.1907 | 1000  | 1.9449          |
| 1.3912        | 0.3814 | 2000  | 2.0170          |
| 0.9994        | 0.5721 | 3000  | 2.1840          |
| 0.6462        | 0.7628 | 4000  | 2.3842          |
| 0.3791        | 0.9535 | 5000  | 2.7062          |
| 0.2017        | 1.1442 | 6000  | 2.9006          |
| 0.1723        | 1.3349 | 7000  | 3.0643          |
| 0.1449        | 1.5256 | 8000  | 3.2089          |
| 0.1292        | 1.7162 | 9000  | 3.3468          |
| 0.1177        | 1.9069 | 10000 | 3.4686          |
| 0.0996        | 2.0976 | 11000 | 3.5735          |
| 0.0966        | 2.2883 | 12000 | 3.6707          |
| 0.0913        | 2.4790 | 13000 | 3.7954          |
| 0.0916        | 2.6697 | 14000 | 3.9067          |
| 0.0859        | 2.8604 | 15000 | 3.9867          |


### Framework versions

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