punctuation-tedtalk2012-t5-base
This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on the tiagoblima/punctuation-tedtalk2012-t5 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0399
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0348 | 1.0 | 77894 | 0.0399 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2