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mt5-small-SENTENCE_COMPRESSION – AI Model by FelipeAD | AlphaNeural AI
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FelipeAD
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mt5-small-SENTENCE_COMPRESSION
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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FelipeAD/mt5-small-SENTENCE_COMPRESSION
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.1433
Validation Loss: 0.9768
Epoch: 3
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': 179848, '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: float32
Training results
Train Loss
Validation Loss
Epoch
2.6046
1.1992
0
1.3586
1.0826
1
1.2178
1.0241
2
1.1433
0.9768
3
Framework versions
Transformers 4.20.1
TensorFlow 2.6.0
Datasets 2.3.2
Tokenizers 0.12.1
