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mt5-small-finetuned-amazon-en-es – AI Model by Hardik1313X | AlphaNeural AI
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Hardik1313X
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mt5-small-finetuned-amazon-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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Hardik1313X/mt5-small-finetuned-amazon-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: 4.0749
Validation Loss: 3.3854
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': 9672, '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
10.0060
4.3897
0
5.9039
3.8382
1
5.1623
3.6476
2
4.7477
3.5488
3
4.4688
3.4721
4
4.2706
3.4173
5
4.1381
3.3921
6
4.0749
3.3854
7
Framework versions
Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1
