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mbart-finetuned-hindi-3012 – AI Model by viditraj860 | AlphaNeural AI
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viditraj860
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mbart-finetuned-hindi-3012
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transformers
tf
mbart
text2text-generation
generated_from_keras_callback
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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mbart-finetuned-hindi-3012
This model is a fine-tuned version of
facebook/mbart-large-50
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.4568
Validation Loss: 1.0632
Epoch: 3
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
0.9287
0.9910
0
0.7548
0.9679
1
0.5955
1.0150
2
0.4568
1.0632
3
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0
