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bhashini – Dataset by DivaJais | AlphaNeural AI
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Bhashini
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: 3.7614
Validation Loss: 3.9516
Epoch: 0
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
Validation Loss
Epoch
3.7614
3.9516
0
Framework versions
Transformers 4.48.3
TensorFlow 2.18.0
Datasets 3.3.2
Tokenizers 0.21.0
