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T5model_medFineTune – AI Model by Metformin | AlphaNeural AI
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Metformin
/
T5model_medFineTune
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Metformin/T5model_medFineTune
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: 9.0442
Validation Loss: 6.1005
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 7820, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 100, 'power': 1.0, '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: float32
Training results
Train Loss
Validation Loss
Epoch
42.6321
28.0647
0
31.2672
21.0068
1
24.8310
16.6186
2
20.5368
13.8025
3
17.3796
11.7180
4
15.0329
10.0404
5
13.0886
8.6286
6
11.5235
7.5594
7
10.1123
6.8079
8
9.0442
6.1005
9
Framework versions
Transformers 4.18.0
TensorFlow 2.6.3
Datasets 2.0.0
Tokenizers 0.12.1
