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bart-base-finetuned-test – AI Model by SiriRRR | AlphaNeural AI
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SiriRRR
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bart-base-finetuned-test
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transformers
tf
bart
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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SiriRRR/bart-base-finetuned-test
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: 0.5900
Validation Loss: 2.6982
Epoch: 7
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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 2864, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
2.4667
2.1935
0
1.7786
2.2691
1
1.4244
2.3324
2
1.1479
2.4362
3
0.9405
2.5442
4
0.7770
2.5797
5
0.6615
2.6505
6
0.5900
2.6982
7
Framework versions
Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.7.1
Tokenizers 0.13.2
