best_berita_roberta_model_fold_1 – AI Model by choiruzzia | AlphaNeural AI

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choiruzzia/
best_berita_roberta_model_fold_1

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text-classification

generated_from_trainer

ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa

autotrain_compatible

endpoints_compatible

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best_berita_roberta_model_fold_1

This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0964
Accuracy: 0.9817
Precision: 0.9812
Recall: 0.9826
F1: 0.9818

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.6034	1.0	601	0.5137	0.8785	0.9043	0.8684	0.8758
0.2584	2.0	1202	0.2616	0.9434	0.9438	0.9489	0.9435
0.1286	3.0	1803	0.2470	0.9642	0.9645	0.9668	0.9646
0.0948	4.0	2404	0.0964	0.9817	0.9812	0.9826	0.9818
0.0405	5.0	3005	0.3506	0.9551	0.9560	0.9593	0.9558
0.0038	6.0	3606	0.3762	0.9551	0.9549	0.9597	0.9551
0.0105	7.0	4207	0.2738	0.9667	0.9657	0.9698	0.9666
0.0004	8.0	4808	0.2319	0.9742	0.9732	0.9765	0.9743
0.0018	9.0	5409	0.2551	0.9725	0.9715	0.9750	0.9726
0.0	10.0	6010	0.2604	0.9725	0.9715	0.9750	0.9726

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1