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mt5-small-finetuned-news – AI Model by jiseong | AlphaNeural AI
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jiseong
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mt5-small-finetuned-news
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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
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: 0.1208
Validation Loss: 0.1012
Epoch: 2
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
0.1829
0.1107
0
0.1421
0.1135
1
0.1208
0.1012
2
Framework versions
Transformers 4.19.2
TensorFlow 2.8.0
Datasets 2.2.2
Tokenizers 0.12.1
