You can deploy this model and start earning money today!

dhanikitkat/
indo_smsa-1.5G_sentiment_analysis

Name: indo_smsa-1.5G_sentiment_analysis
Availability: InStock

generated_from_trainer

Views

No views yet

bert-base-indonesian-1.5G-finetuned-sentiment-analysis-smsa

This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.3390
Accuracy: 0.9373

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: 16
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
0.2864	1.0	688	0.2154	0.9286
0.1648	2.0	1376	0.2238	0.9357
0.0759	3.0	2064	0.3351	0.9365
0.044	4.0	2752	0.3390	0.9373
0.0308	5.0	3440	0.4346	0.9365
0.0113	6.0	4128	0.4708	0.9365
0.006	7.0	4816	0.5533	0.9325
0.0047	8.0	5504	0.5888	0.9310
0.0001	9.0	6192	0.5961	0.9333
0.0	10.0	6880	0.5992	0.9357

Framework versions

Transformers 4.14.1
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3

dhanikitkat/indo_smsa-1.5G_sentiment_analysis

bert-base-indonesian-1.5G-finetuned-sentiment-analysis-smsa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dhanikitkat/
indo_smsa-1.5G_sentiment_analysis