Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
fine-tuning-javanese-sentiment-analysist-3-class2 – AI Model by johannawawi | AlphaNeural AI
You can deploy this model and start earning money today!
johannawawi
/
fine-tuning-javanese-sentiment-analysist-3-class2
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
azizp128/javanese-sentiment-analysis-indobert
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
results
This model is a fine-tuned version of
azizp128/javanese-sentiment-analysis-indobert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5921
Accuracy : 0.9033
F1 Macro : 0.9029
F1 Weighted : 0.9029
Precision Macro : 0.9052
Recall Macro : 0.9032
Precision Weighted : 0.9051
Recall Weighted : 0.9033
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: 6e-06
train_batch_size: 8
eval_batch_size: 8
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
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
