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bart_large_multi – AI Model by KostiuchenkoArtem | AlphaNeural AI
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KostiuchenkoArtem
/
bart_large_multi
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transformers
tf
bart
text2text-generation
generated_from_keras_callback
mit
endpoints_compatible
us
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KostiuchenkoArtem/bart_large_multi
This model is a fine-tuned version of
facebook/bart-large-cnn
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.4183
Validation Loss: 2.2949
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
2.2305
2.1257
0
1.9043
2.1163
1
1.6451
2.1815
2
1.4183
2.2949
3
Framework versions
Transformers 4.29.2
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
