poem-gen-spanish-t5-small-test
This model is a fine-tuned version of hackathon-pln-es/poem-gen-spanish-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2170
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: 0.0001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8391 | 0.73 | 30000 | 2.9486 |
| 2.6782 | 1.46 | 60000 | 2.8990 |
| 2.5323 | 2.19 | 90000 | 2.9193 |
| 2.5191 | 2.93 | 120000 | 2.8982 |
| 2.4007 | 3.66 | 150000 | 2.9241 |
| 2.2909 | 4.39 | 180000 | 2.9418 |
| 2.1741 | 5.12 | 210000 | 2.9783 |
| 2.1973 | 5.85 | 240000 | 2.9671 |
| 2.0969 | 6.58 | 270000 | 3.0179 |
| 1.9818 | 7.31 | 300000 | 3.0582 |
| 1.8639 | 8.05 | 330000 | 3.0918 |
| 1.8824 | 8.78 | 360000 | 3.1095 |
| 1.7929 | 9.51 | 390000 | 3.1502 |
| 1.7247 | 10.24 | 420000 | 3.1855 |
| 1.7039 | 10.97 | 450000 | 3.1953 |
| 1.6475 | 11.7 | 480000 | 3.2180 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6