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---
base_model: tiagoblima/gun-nlth-base
tags:
- generated_from_trainer
model-index:
- name: t2t-gun-nlth-from-base-ft
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-ft
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: 5.9197
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.4914 | 0.55 | 4000 | 6.6892 |
| 6.2748 | 1.1 | 8000 | 8.6345 |
| 6.0827 | 1.65 | 12000 | 7.7299 |
| 5.8924 | 2.2 | 16000 | 6.0179 |
| 5.8561 | 2.74 | 20000 | 5.9197 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
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