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mt5-small-finetuned-cnn_dailymail-en-es – AI Model by alk | AlphaNeural AI
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alk
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mt5-small-finetuned-cnn_dailymail-en-es
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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alk/mt5-small-finetuned-cnn_dailymail-en-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: 1.9490
Validation Loss: 1.6920
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': 287112, '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
2.9445
1.9068
0
2.2439
1.8106
1
2.1301
1.7582
2
2.0643
1.7378
3
2.0191
1.7181
4
1.9870
1.7033
5
1.9646
1.7015
6
1.9490
1.6920
7
Framework versions
Transformers 4.18.0
TensorFlow 2.8.0
Datasets 2.2.1
Tokenizers 0.12.1
