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fine-tuning-javanese-sentiment-analysist-3-class-azizp – AI Model by johannawawi | AlphaNeural AI
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johannawawi
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fine-tuning-javanese-sentiment-analysist-3-class-azizp
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transformers
safetensors
bert
text-classification
generated_from_trainer
azizp128/javanese-sentiment-analysis-indobert
finetune
autotrain_compatible
endpoints_compatible
us
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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: 0.5499
Accuracy: 0.935
F1 Macro: 0.9323
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 3.5.0
Tokenizers 0.21.1
