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mt5-small-finetuned-amazon-en-es-finetuned-amazon-en-es – AI Model by serhii-korobchenko | AlphaNeural AI
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serhii-korobchenko
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mt5-small-finetuned-amazon-en-es-finetuned-amazon-en-es
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
serhii-korobchenko/mt5-small-finetuned-amazon-en-es
finetune
apache-2.0
endpoints_compatible
us
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serhii-korobchenko/mt5-small-finetuned-amazon-en-es-finetuned-amazon-en-es
This model is a fine-tuned version of
serhii-korobchenko/mt5-small-finetuned-amazon-en-es
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.3858
Validation Loss: 3.3815
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 3627, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
5.9852
3.5687
0
4.6764
3.4203
1
4.3858
3.3815
2
Framework versions
Transformers 4.37.2
TensorFlow 2.15.0
Datasets 2.17.1
Tokenizers 0.15.2
