---
base_model: tiagoblima/gun-nlth-base
tags:
- generated_from_trainer
model-index:
- name: t2t-gun-nlth-from-base
  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. -->

# t2t-gun-nlth-from-base

This model is a fine-tuned version of [tiagoblima/gun-nlth-base](https://huggingface.co/tiagoblima/gun-nlth-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.3261

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.6795        | 0.55  | 4000  | 6.5678          |
| 6.5538        | 1.1   | 8000  | 6.4805          |
| 6.4744        | 1.65  | 12000 | 6.4086          |
| 6.3835        | 2.2   | 16000 | 6.3552          |
| 6.3875        | 2.74  | 20000 | 6.3261          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1