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mt5-small-finetuned-amazon-en-es-0920 – AI Model by HanSSH | AlphaNeural AI
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HanSSH
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mt5-small-finetuned-amazon-en-es-0920
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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HanSSH/mt5-small-finetuned-amazon-en-es-0920
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: 3.0998
Validation Loss: 3.2948
Epoch: 3
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': 0.00056, '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
5.9659
3.6380
0
3.8434
3.4036
1
3.3614
3.3487
2
3.0998
3.2948
3
Framework versions
Transformers 4.21.3
TensorFlow 2.10.0
Datasets 2.4.0
Tokenizers 0.12.1