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Fine_Tune_T5_Model_News_Summarization – AI Model by carlsiegfried | AlphaNeural AI
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carlsiegfried
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Fine_Tune_T5_Model_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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carlsiegfried/Fine_Tune_T5_Model_News_Summarization
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: 1.8551
Validation Loss: 1.6654
Train Lr: 2e-05
Epoch: 5
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
1.9386
1.6949
2e-05
0
1.8909
1.6838
2e-05
1
1.8732
1.6740
2e-05
2
1.8612
1.6723
2e-05
3
1.8709
1.6676
2e-05
4
1.8551
1.6654
2e-05
5
Framework versions
Transformers 4.30.1
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3
