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t5-base-finetuned-es-to-guc
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7146
- Bleu: 0.0271
- Gen Len: 19.0
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 191 | 2.5095 | 0.0121 | 19.0 |
| No log | 2.0 | 382 | 2.1263 | 0.0199 | 19.0 |
| 2.7967 | 3.0 | 573 | 1.9634 | 0.0256 | 18.9974 |
| 2.7967 | 4.0 | 764 | 1.8687 | 0.0179 | 19.0 |
| 2.7967 | 5.0 | 955 | 1.8123 | 0.0251 | 19.0 |
| 2.116 | 6.0 | 1146 | 1.7743 | 0.0217 | 19.0 |
| 2.116 | 7.0 | 1337 | 1.7462 | 0.0236 | 19.0 |
| 1.9709 | 8.0 | 1528 | 1.7279 | 0.027 | 19.0 |
| 1.9709 | 9.0 | 1719 | 1.7173 | 0.0281 | 19.0 |
| 1.9709 | 10.0 | 1910 | 1.7146 | 0.0271 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
