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legal_data_summarizer-finetuned-legal – AI Model by nhankins | AlphaNeural AI
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nhankins
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legal_data_summarizer-finetuned-legal
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-small
finetune
apache-2.0
endpoints_compatible
us
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nhankins/legal_data_summarizer-finetuned-legal
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.9404
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: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 248, '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}
training_precision: mixed_float16
Training results
Train Loss
Epoch
5.3151
0
3.5925
1
2.7920
2
2.4254
3
2.2006
4
2.0480
5
1.9387
6
1.9404
7
Framework versions
Transformers 4.28.0
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3
