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tuned-t5 – AI Model by jwang | AlphaNeural AI
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jwang
/
tuned-t5
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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jwang/tuned-t5
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: 4.6386
Validation Loss: 3.3773
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
4.7547
3.4438
0
4.6135
3.4096
1
4.6386
3.3773
2
Framework versions
Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1
