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mt5-small-sumarizacion-es – AI Model by Deysi | AlphaNeural AI
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Deysi
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mt5-small-sumarizacion-es
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Deysi/mt5-small-sumarizacion-es
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: 2.0076
Validation Loss: 1.8152
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 76288, '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: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
4.0639
2.3192
0
2.6021
2.0832
1
2.3235
1.9546
2
2.1939
1.8930
3
2.1122
1.8559
4
2.0598
1.8318
5
2.0272
1.8236
6
2.0076
1.8152
7
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.9.0
Tokenizers 0.13.2
