indobert-nusax-sentiment-jawa – AI Model by shintaar | AlphaNeural AI

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shintaar/
indobert-nusax-sentiment-jawa

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text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

text-embeddings-inference

endpoints_compatible

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indobert-nusax-sentiment-jawa

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5065
Accuracy: 0.83
F1 Macro: 0.8221
Precision: 0.8378
Recall: 0.8138

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: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision	Recall
0.9606	1.0	32	0.8867	0.61	0.5751	0.5872	0.5811
0.6202	2.0	64	0.6404	0.74	0.7235	0.7446	0.7208
0.4057	3.0	96	0.5769	0.77	0.7611	0.7679	0.7573
0.2209	4.0	128	0.6147	0.78	0.7679	0.7823	0.761
0.1117	5.0	160	0.6281	0.77	0.7618	0.7614	0.7624

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2