model_en_pt
This model is a fine-tuned version of t5-small on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 3.1561
- Bleu: 1.0547
- Gen Len: 17.8369
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 79 | 3.4923 | 1.2907 | 17.2624 |
| No log | 2.0 | 158 | 3.3099 | 0.8388 | 17.2482 |
| No log | 3.0 | 237 | 3.2192 | 0.8526 | 17.7021 |
| No log | 4.0 | 316 | 3.1709 | 0.9618 | 17.8298 |
| No log | 5.0 | 395 | 3.1561 | 1.0547 | 17.8369 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Base model
google-t5/t5-small