t2t-gun-nlth-from-base
This model is a fine-tuned version of 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