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summarization-tutorial – AI Model by saintrivers | AlphaNeural AI
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saintrivers
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summarization-tutorial
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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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saintrivers/summarization-tutorial
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: 2.7072
Validation Loss: 2.5200
Epoch: 2
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
Epoch
2.9160
2.5914
0
2.7621
2.5448
1
2.7072
2.5200
2
Framework versions
Transformers 4.44.2
TensorFlow 2.17.0
Datasets 2.21.0
Tokenizers 0.19.1
