| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: punctuation-nilc-t5-base | |
| 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. --> | |
| # punctuation-nilc-t5-base | |
| This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/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 | |