IndoBERT-Sentiment-Analysis – AI Model by crypter70 | AlphaNeural AI

You can deploy this model and start earning money today!

crypter70/
IndoBERT-Sentiment-Analysis

like

0

text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

autotrain_compatible

endpoints_compatible

Views

No views yet

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	3.54	6500	0.4074	0.9389	0.9387
0.0414	3.82	7000	0.3863	0.9405	0.9405
0.0156	4.09	7500	0.4128	0.9413	0.9412
0.0067	4.36	8000	0.4469	0.9397	0.9399
0.0056	4.63	8500	0.4297	0.9444	0.9445
0.0124	4.91	9000	0.4227	0.9452	0.9451

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.0.dev20230729
Datasets 2.14.0
Tokenizers 0.15.2