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johannawawi/
balanced_dataset_fine-tuning-java-indo-sentiment-analysist-3-class

Name: balanced_dataset_fine-tuning-java-indo-sentiment-analysist-3-class
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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:

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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 Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted	Precision Macro	Recall Macro	Precision Weighted	Recall Weighted
0.2227	1.0438	500	0.2626	0.9228	0.9227	0.9227	0.9236	0.9227	0.9236	0.9228
0.2623	2.0877	1000	0.2595	0.9217	0.9216	0.9216	0.9220	0.9217	0.9220	0.9217
0.2573	3.1315	1500	0.2587	0.9217	0.9216	0.9216	0.9222	0.9217	0.9222	0.9217
0.2262	4.1754	2000	0.2566	0.9217	0.9216	0.9216	0.9222	0.9217	0.9222	0.9217