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news_summarization – AI Model by j-gc | AlphaNeural AI
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j-gc
/
news_summarization
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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j-gc/News_Summarization
It achieves the following results on the evaluation set:
Train Loss: 1.8429
Validation Loss: 1.6616
Train Lr: 2e-05
Epoch: 6
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
Train Lr
Epoch
1.9276
1.6934
2e-05
0
1.8823
1.6807
2e-05
1
1.8644
1.6745
2e-05
2
1.8627
1.6671
2e-05
3
1.8604
1.6672
2e-05
4
1.8496
1.6631
2e-05
5
1.8429
1.6616
2e-05
6
Framework versions
Transformers 4.30.1
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3
