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mt5-small-finetuned-amazon-en-es – AI Model by datauma | AlphaNeural AI
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datauma
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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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datauma/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: 4.2505
Validation Loss: 3.4530
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
11.9288
5.8713
0
6.6821
4.3246
1
5.6453
3.8715
2
5.0908
3.6368
3
4.7348
3.5496
4
4.5106
3.4939
5
4.3261
3.4659
6
4.2505
3.4530
7
Framework versions
Transformers 4.18.0
TensorFlow 2.8.0
Datasets 2.1.0
Tokenizers 0.12.1
