metadata
base_model: tiagoblima/t2t-gun-nlth-from-base
tags:
- generated_from_trainer
model-index:
- name: t2t-gun-nlth-from-base-warmup
results: []
t2t-gun-nlth-from-base-warmup
This model is a fine-tuned version of tiagoblima/t2t-gun-nlth-from-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2714
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 |
|---|---|---|---|
| 5.5983 | 0.55 | 4000 | 5.4980 |
| 4.9836 | 1.1 | 8000 | 4.9345 |
| 4.6311 | 1.65 | 12000 | 4.5711 |
| 4.2902 | 2.2 | 16000 | 4.3787 |
| 4.1916 | 2.74 | 20000 | 4.2714 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1