<!-- 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. -->
ptt5-large-wiki-30epochs
This model is a fine-tuned version of unicamp-dl/ptt5-large-portuguese-vocab on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0024
- Rouge2: 0.0006
- Rougel: 0.002
- Rougelsum: 0.0022
- Gen Len: 0.3684
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 57159 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 2.0 | 114318 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 3.0 | 171477 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 4.0 | 228636 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 5.0 | 285795 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 6.0 | 342954 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 7.0 | 400113 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 8.0 | 457272 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 9.0 | 514431 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 10.0 | 571590 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 11.0 | 628749 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 12.0 | 685908 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 13.0 | 743067 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 14.0 | 800226 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 15.0 | 857385 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 16.0 | 914544 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 17.0 | 971703 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 18.0 | 1028862 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 19.0 | 1086021 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 20.0 | 1143180 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 21.0 | 1200339 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 22.0 | 1257498 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 23.0 | 1314657 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 24.0 | 1371816 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 25.0 | 1428975 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 26.0 | 1486134 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 27.0 | 1543293 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 28.0 | 1600452 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 29.0 | 1657611 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
| 0.0 | 30.0 | 1714770 | nan | 0.0024 | 0.0006 | 0.002 | 0.0022 | 0.3684 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
