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bert-base-indonesia-sentiment-analysis – AI Model by dwisaji | AlphaNeural AI
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dwisaji
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bert-base-indonesia-sentiment-analysis
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transformers
pytorch
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
cahya/bert-base-indonesian-522M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1414
Accuracy: 0.955
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:
learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
288
0.7729
0.655
0.7913
2.0
576
0.4324
0.845
0.7913
3.0
864
0.3035
0.91
0.4859
4.0
1152
0.1832
0.94
0.4859
5.0
1440
0.1414
0.955
Framework versions
Transformers 4.22.0
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
