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it-en-model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-it-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0762
- Train Acc: 0.4615
- Validation Loss: 0.1674
- Validation Acc: 0.4489
- Epoch: 8
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Acc | Validation Loss | Validation Acc | Epoch |
|---|---|---|---|---|
| 0.2335 | 0.4419 | 0.1955 | 0.4417 | 0 |
| 0.1760 | 0.4484 | 0.1788 | 0.4441 | 1 |
| 0.1466 | 0.4519 | 0.1715 | 0.4456 | 2 |
| 0.1263 | 0.4546 | 0.1666 | 0.4466 | 3 |
| 0.1109 | 0.4564 | 0.1645 | 0.4473 | 4 |
| 0.0992 | 0.4589 | 0.1639 | 0.4478 | 5 |
| 0.0898 | 0.4605 | 0.1658 | 0.4485 | 6 |
| 0.0824 | 0.4610 | 0.1657 | 0.4488 | 7 |
| 0.0762 | 0.4615 | 0.1674 | 0.4489 | 8 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2
