t5-small-finetuned-en-to-it
This model is a fine-tuned version of t5-small on the ccmatrix dataset. It achieves the following results on the evaluation set:
- Loss: 2.0188
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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5524 | 1.0 | 750 | 2.2315 |
| 2.4839 | 2.0 | 1500 | 2.1932 |
| 2.4654 | 3.0 | 2250 | 2.1637 |
| 2.4001 | 4.0 | 3000 | 2.1352 |
| 2.3966 | 5.0 | 3750 | 2.1122 |
| 2.3537 | 6.0 | 4500 | 2.0921 |
| 2.3427 | 7.0 | 5250 | 2.0746 |
| 2.316 | 8.0 | 6000 | 2.0614 |
| 2.301 | 9.0 | 6750 | 2.0488 |
| 2.2813 | 10.0 | 7500 | 2.0403 |
| 2.2691 | 11.0 | 8250 | 2.0325 |
| 2.2561 | 12.0 | 9000 | 2.0265 |
| 2.258 | 13.0 | 9750 | 2.0217 |
| 2.2447 | 14.0 | 10500 | 2.0199 |
| 2.2432 | 15.0 | 11250 | 2.0188 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
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