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es-en-model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2348
- Train Acc: 0.3632
- Validation Loss: 0.4936
- Validation Acc: 0.3406
- Epoch: 6
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 |
|---|---|---|---|---|
| 0.5028 | 0.3416 | 0.4575 | 0.3401 | 0 |
| 0.4209 | 0.3483 | 0.4518 | 0.3409 | 1 |
| 0.3689 | 0.3519 | 0.4544 | 0.3410 | 2 |
| 0.3269 | 0.3535 | 0.4618 | 0.3410 | 3 |
| 0.2914 | 0.3579 | 0.4712 | 0.3412 | 4 |
| 0.2611 | 0.3598 | 0.4824 | 0.3411 | 5 |
| 0.2348 | 0.3632 | 0.4936 | 0.3406 | 6 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2
