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results – AI Model by arifsyukri | AlphaNeural AI
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results
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transformers
safetensors
bert
text-classification
generated_from_trainer
mdhugol/indonesia-bert-sentiment-classification
finetune
autotrain_compatible
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
mdhugol/indonesia-bert-sentiment-classification
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1267
Accuracy: {'accuracy': 0.9673366834170855}
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
100
0.1611
{'accuracy': 0.9371859296482412}
No log
2.0
200
0.1097
{'accuracy': 0.9723618090452262}
No log
3.0
300
0.1267
{'accuracy': 0.9673366834170855}
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
