metadata
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: punctuation-nilc-t5-base
results: []
punctuation-nilc-t5-base
This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0432
- Bleu: 26.0973
- Gen Len: 18.8694
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: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0544 | 1.0 | 4686 | 0.0442 | 25.989 | 18.8655 |
| 0.0367 | 2.0 | 9372 | 0.0371 | 25.9358 | 18.8713 |
| 0.0222 | 3.0 | 14058 | 0.0374 | 25.8976 | 18.8694 |
| 0.0152 | 4.0 | 18744 | 0.0409 | 26.1575 | 18.8694 |
| 0.0147 | 5.0 | 23430 | 0.0432 | 26.0973 | 18.8694 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2