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mt5-small-finetuned-mt5-class1 – AI Model by ririying | AlphaNeural AI
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ririying
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mt5-small-finetuned-mt5-class1
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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ririying/mt5-small-finetuned-mt5-class1
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: 2.0908
Validation Loss: 1.7689
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': 71320, '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
3.8999
2.2395
0
2.6457
1.9951
1
2.3865
1.8784
2
2.2622
1.8179
3
2.1877
1.7959
4
2.1395
1.7820
5
2.1085
1.7720
6
2.0908
1.7689
7
Framework versions
Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.7.1
Tokenizers 0.13.2
