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mt5-small-finetuned-amazon-en-fr – AI Model by soduhh | AlphaNeural AI
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soduhh
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mt5-small-finetuned-amazon-en-fr
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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soduhh/mt5-small-finetuned-amazon-en-fr
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: 3.9132
Validation Loss: 3.2661
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': 11184, '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
9.1676
4.1323
0
5.6798
3.6659
1
4.9731
3.5322
2
4.5665
3.4177
3
4.2967
3.3513
4
4.1126
3.3000
5
3.9828
3.2671
6
3.9132
3.2661
7
Framework versions
Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3
