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mt5-small-finetuned-news-ab – AI Model by jiseong | AlphaNeural AI
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jiseong
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mt5-small-finetuned-news-ab
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transformers
tf
tensorboard
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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jiseong/mt5-small-finetuned-news-ab
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: 2.0174
Validation Loss: 1.7411
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
4.1124
2.0706
0
2.4090
1.8742
1
2.1379
1.7889
2
2.0174
1.7411
3
Framework versions
Transformers 4.19.2
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1
