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bart_base_large – AI Model by KostiuchenkoArtem | AlphaNeural AI
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KostiuchenkoArtem
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bart_base_large
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transformers
tf
bart
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Model card
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TianMu/bart_base_large
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.3445
Validation Loss: 2.4043
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
2.7502
2.4418
0
2.5512
2.4306
1
2.4377
2.4095
2
2.3445
2.4043
3
Framework versions
Transformers 4.29.2
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
