IndoBERT Sentiment Analysis This model is a fine tuned version of indobenchmark/indobert base p1 on the indonlu dataset. It achieves the following results on the evaluation set: Loss: 0.4221 Accuracy: 0.9452 F1 Score: 0.9451 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: 2e 05 train batch size: 6 eval batch size: 6 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 5 Training results Training Loss Epoch Step Validation Loss Accuracy F1 Score : : : : : : : : : : : : 0.3499 0.27 500 0.2392 0.9310 0.9311 0.3181 0.55 1000 0.3354 0.9175 0.9158 0.3001 0.82 1500 0.2965 0.9238 0.9243 0.2534 1.09 2000 0.3513 0.9222 0.9218 0.1692 1.36 2500 0.2657 0.9405 0.9399 0.1543 1.64 3000 0.4046 0.9198 0.9191 0.1827 1.91 3500 0.2800 0.9317 0.9319 0.1061 2.18 4000 0.3352 0.9389 0.9389 0.0639 2.45 4500 0.4033 0.9373 0.9365 0.0709 2.73 5000 0.3508 0.9365 0.9360 0.0922 3.0 5500 0.3313 0.9397 0.9394 0.0274 3.27 6000 0.3635 0.9444 0.9440 0.0273…
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