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johannawawi/
v2_balanced_dataset_fine-tuning-java-indo-sentiment-analysist-3-class

Name: v2_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: 1e-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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted	Precision Macro	Recall Macro	Precision Weighted	Recall Weighted
0.3359	1.8182	500	0.3600	0.8891	0.8890	0.8890	0.8890	0.8890	0.8891	0.8891
0.3117	3.6364	1000	0.3554	0.8927	0.8928	0.8928	0.8930	0.8927	0.8931	0.8927
0.2603	5.4545	1500	0.3692	0.8891	0.8892	0.8892	0.8894	0.8891	0.8895	0.8891
0.2902	7.2727	2000	0.3660	0.8873	0.8874	0.8875	0.8878	0.8872	0.8879	0.8873
0.301	9.0909	2500	0.3668	0.8855	0.8855	0.8856	0.8857	0.8854	0.8858	0.8855