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3_fine-tuning-java-indo-sentiment-analysist-3-class – AI Model by johannawawi | AlphaNeural AI
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3_fine-tuning-java-indo-sentiment-analysist-3-class
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transformers
safetensors
roberta
text-classification
generated_from_trainer
w11wo/indonesian-roberta-base-sentiment-classifier
finetune
mit
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
w11wo/indonesian-roberta-base-sentiment-classifier
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2696
Accuracy: 0.9059
F1 Macro: 0.9060
F1 Weighted: 0.9060
Precision Macro: 0.9065
Recall Macro: 0.9058
Precision Weighted: 0.9065
Recall Weighted: 0.9059
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: 3e-05
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: cosine
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
F1 Weighted
Precision Macro
Recall Macro
Precision Weighted
Recall Weighted
0.3199
3.4722
500
0.2696
0.9059
0.9060
0.9060
0.9065
0.9058
0.9065
0.9059
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
