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mt5-small-finetuned-wikilingua-en-vi – AI Model by foxxy-hm | AlphaNeural AI
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foxxy-hm
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mt5-small-finetuned-wikilingua-en-vi
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
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foxxy-hm/mt5-small-finetuned-wikilingua-en-vi
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: 2.0995
Validation Loss: 1.7594
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': 16208, '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
4.4772
2.1093
0
2.8808
1.9781
1
2.5121
1.8920
2
2.3034
1.8253
3
2.1755
1.7736
4
2.1104
1.7594
5
2.0990
1.7594
6
2.0995
1.7594
7
Framework versions
Transformers 4.27.2
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.3
