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t5-base-finetuned-es-to-pbb
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5858
- Bleu: 0.0069
- 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 | 199 | 2.2691 | 0.0035 | 19.0 |
| No log | 2.0 | 398 | 1.9369 | 0.0051 | 19.0 |
| 2.5691 | 3.0 | 597 | 1.7988 | 0.0056 | 19.0 |
| 2.5691 | 4.0 | 796 | 1.7213 | 0.0051 | 19.0 |
| 2.5691 | 5.0 | 995 | 1.6731 | 0.0061 | 19.0 |
| 1.9438 | 6.0 | 1194 | 1.6376 | 0.0063 | 19.0 |
| 1.9438 | 7.0 | 1393 | 1.6128 | 0.0067 | 19.0 |
| 1.8122 | 8.0 | 1592 | 1.5972 | 0.0063 | 19.0 |
| 1.8122 | 9.0 | 1791 | 1.5888 | 0.0064 | 19.0 |
| 1.8122 | 10.0 | 1990 | 1.5858 | 0.0069 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
