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bart-example – AI Model by merve | AlphaNeural AI
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merve
/
bart-example
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transformers
tf
bart
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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bart-example
This model is a fine-tuned version of
facebook/bart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.7877
Validation Loss: 2.4972
Epoch: 4
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
6.3670
3.2462
0
3.5143
2.7551
1
3.0299
2.5620
2
2.9364
2.7830
3
2.7877
2.4972
4
Framework versions
Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2
