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mt5-small-finetuned-amazon-en-es-tf – AI Model by Ethan159203 | AlphaNeural AI
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Ethan159203
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mt5-small-finetuned-amazon-en-es-tf
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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Ethan159203/mt5-small-finetuned-amazon-en-es-tf
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: 4.7378
Validation Loss: 3.5905
Epoch: 5
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': 4000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
9.7823
4.3700
0
6.0226
3.8922
1
5.4114
3.7468
2
5.0823
3.6693
3
4.8900
3.6199
4
4.7378
3.5905
5
Framework versions
Transformers 4.57.6
TensorFlow 2.21.0
Datasets 4.8.4
Tokenizers 0.22.2
