---
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_e10_save5000
  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_e10_save5000

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: 2.6975

## 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: 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: 10

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.3986        | 0.9538 | 5000  | 2.6975          |
| 0.1468        | 1.9077 | 10000 | 3.2221          |
| 0.1156        | 2.8615 | 15000 | 3.4922          |
| 0.0981        | 3.8153 | 20000 | 3.6490          |
| 0.0847        | 4.7692 | 25000 | 3.8345          |
| 0.0704        | 5.7230 | 30000 | 3.9968          |
| 0.0551        | 6.6768 | 35000 | 4.2504          |
| 0.0433        | 7.6307 | 40000 | 4.5271          |
| 0.0354        | 8.5845 | 45000 | 4.7534          |
| 0.0317        | 9.5383 | 50000 | 4.9696          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3