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legal_summarizer – AI Model by rahilv99 | AlphaNeural AI
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rahilv99
/
legal_summarizer
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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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rahilv99/legal_summarizer
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.2008
Validation Loss: 2.0942
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': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
2.4782
2.2619
0
2.4129
2.2222
1
2.3677
2.1905
2
2.3291
2.1659
3
2.2925
2.1465
4
2.2566
2.1293
5
2.2317
2.1135
6
2.2008
2.0942
7
Framework versions
Transformers 4.50.0
TensorFlow 2.18.0
Datasets 3.5.0
Tokenizers 0.21.1
