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t5-small-finetuned-custom-wion-test – AI Model by TestZee | AlphaNeural AI
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t5-small-finetuned-custom-wion-test
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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TestZee/t5-small-finetuned-custom-wion-test
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.9773
Validation Loss: 0.8028
Epoch: 9
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
2.2933
0.9052
0
2.3077
0.8923
1
2.1972
0.8797
2
2.1740
0.8677
3
2.1535
0.8564
4
2.1772
0.8452
5
2.1227
0.8342
6
2.0875
0.8234
7
2.0279
0.8129
8
1.9773
0.8028
9
Framework versions
Transformers 4.20.1
TensorFlow 2.8.2
Tokenizers 0.12.1
