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Sentiment_Sundanese_Distilbert_Full – AI Model by hanifimaduddin | AlphaNeural AI
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Sentiment_Sundanese_Distilbert_Full
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
cahya/distilbert-base-indonesian
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Sentiment_Sundanese_Distilbert_Full
This model is a fine-tuned version of
cahya/distilbert-base-indonesian
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7006
F1: 0.8467
Accuracy: 0.8447
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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Accuracy
0.3209
1.0
66
0.6604
0.8030
0.8083
0.1745
2.0
132
1.0011
0.7838
0.7864
0.1045
3.0
198
0.7006
0.8467
0.8447
Framework versions
Transformers 4.46.0
Pytorch 2.5.0
Datasets 3.0.2
Tokenizers 0.20.1
