22best_berita_roberta_model_fold_3 – AI Model by choiruzzia | AlphaNeural AI

You can deploy this model and start earning money today!

choiruzzia/
22best_berita_roberta_model_fold_3

like

0

text-classification

generated_from_trainer

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

autotrain_compatible

endpoints_compatible

Views

No views yet

Visualize in Weights & Biases

22best_berita_roberta_model_fold_3

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: 0.9238
Accuracy: 0.8815
Precision: 0.8816
Recall: 0.8882
F1: 0.8802

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
No log	1.0	106	0.4861	0.8009	0.8185	0.7929	0.7946
No log	2.0	212	0.6104	0.7820	0.8077	0.7810	0.7751
No log	3.0	318	0.6139	0.8246	0.8276	0.8147	0.8144
No log	4.0	424	1.1299	0.8294	0.8478	0.8432	0.8281
0.4919	5.0	530	0.9623	0.8531	0.8547	0.8608	0.8511
0.4919	6.0	636	0.8674	0.8768	0.8771	0.8825	0.8750
0.4919	7.0	742	0.9238	0.8815	0.8816	0.8882	0.8802
0.4919	8.0	848	0.9191	0.8673	0.8658	0.8712	0.8649
0.4919	9.0	954	1.0218	0.8673	0.8681	0.8712	0.8647
0.0165	10.0	1060	1.0294	0.8720	0.8725	0.8769	0.8699

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1