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IndoBali_Model – AI Model by pijarcandra22 | AlphaNeural AI
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pijarcandra22
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IndoBali_Model
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-small
finetune
apache-2.0
endpoints_compatible
us
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pijarcandra22/IndoBali_Model
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: 3.6963
Validation Loss: 3.3364
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
4.8212
4.4730
0
4.5990
4.1817
1
4.3599
4.0064
2
4.2074
3.8822
3
4.1465
3.7819
4
4.0885
3.6950
5
3.9791
3.6091
6
3.8676
3.5159
7
3.7879
3.4260
8
3.6963
3.3364
9
Framework versions
Transformers 4.33.0
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3
