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ne-en – Dataset by BeebekBhz | AlphaNeural AI
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ne-en
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-hi-en
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.3494
Validation Loss: 1.7265
Epoch: 4
Model description
More information needed
Intended uses & limitations
More information needed
BLEU Score
The model achieves a BLEU score of
28.66
on the
test
split of the
BeebekBhz/ne-en
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
2.2912
1.9530
0
1.8413
1.8206
1
1.6270
1.7661
2
1.4746
1.7402
3
1.3494
1.7265
4
Framework versions
Transformers 4.48.3
TensorFlow 2.18.0
Datasets 3.3.2
Tokenizers 0.21.0
