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t5-base-finetuned-es-to-ngu
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7712
- Bleu: 0.0269
- 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 | 2.5314 | 0.0066 | 19.0 |
| No log | 2.0 | 398 | 2.1774 | 0.0457 | 19.0 |
| 2.822 | 3.0 | 597 | 2.0229 | 0.0499 | 19.0 |
| 2.822 | 4.0 | 796 | 1.9314 | 0.0337 | 19.0 |
| 2.822 | 5.0 | 995 | 1.8744 | 0.035 | 19.0 |
| 2.1704 | 6.0 | 1194 | 1.8331 | 0.0294 | 19.0 |
| 2.1704 | 7.0 | 1393 | 1.8052 | 0.0243 | 19.0 |
| 2.0246 | 8.0 | 1592 | 1.7856 | 0.0226 | 19.0 |
| 2.0246 | 9.0 | 1791 | 1.7746 | 0.0225 | 19.0 |
| 2.0246 | 10.0 | 1990 | 1.7712 | 0.0269 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
