---
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_eos
  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_eos

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: 2.0876

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:------:|:------:|:---------------:|
| 1.0611        | 0.4769 | 5000   | 2.0876          |
| 0.3274        | 0.9538 | 10000  | 2.7190          |
| 0.1866        | 1.4308 | 15000  | 2.9944          |
| 0.1541        | 1.9077 | 20000  | 3.1986          |
| 0.1317        | 2.3846 | 25000  | 3.2512          |
| 0.1239        | 2.8615 | 30000  | 3.4157          |
| 0.1082        | 3.3384 | 35000  | 3.4850          |
| 0.1058        | 3.8153 | 40000  | 3.5546          |
| 0.0903        | 4.2923 | 45000  | 3.6930          |
| 0.0888        | 4.7692 | 50000  | 3.7675          |
| 0.0705        | 5.2461 | 55000  | 3.8942          |
| 0.071         | 5.7230 | 60000  | 4.0015          |
| 0.0547        | 6.1999 | 65000  | 4.1481          |
| 0.0554        | 6.6768 | 70000  | 4.2596          |
| 0.0463        | 7.1538 | 75000  | 4.3939          |
| 0.0451        | 7.6307 | 80000  | 4.4723          |
| 0.0395        | 8.1076 | 85000  | 4.6841          |
| 0.0395        | 8.5845 | 90000  | 4.7395          |
| 0.0361        | 9.0614 | 95000  | 4.8502          |
| 0.0368        | 9.5383 | 100000 | 4.8884          |


### Framework versions

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