en-ne
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.3328
- Validation Loss: 1.5832
- Epoch: 5
Model description
More information needed
Intended uses & limitations
More information needed
BLEU Score
The model achieves a BLEU score of 14.83 on the test
split of the BeebekBhz/en-ne
dataset.
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 | Validation Loss | Epoch |
---|---|---|
2.6327 | 2.0059 | 0 |
1.9273 | 1.7883 | 1 |
1.6957 | 1.6886 | 2 |
1.5456 | 1.6348 | 3 |
1.4287 | 1.6065 | 4 |
1.3328 | 1.5832 | 5 |
Framework versions
- Transformers 4.47.1
- TensorFlow 2.17.1
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for BeebekBhz/en-ne
Base model
Helsinki-NLP/opus-mt-en-hi