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

Name: roberta-base-indonesian-sentiment-analysis-smsa
Availability: InStock

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roberta-base-indonesian-sentiment-analysis-smsa

This model is a fine-tuned version of flax-community/indonesian-roberta-base on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.4252
Accuracy: 0.9349

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: 1e-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
lr_scheduler_warmup_steps: 2000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7582	1.0	688	0.3280	0.8786
0.3225	2.0	1376	0.2398	0.9206
0.2057	3.0	2064	0.2574	0.9230
0.1642	4.0	2752	0.2820	0.9302
0.1266	5.0	3440	0.3344	0.9317
0.0608	6.0	4128	0.3543	0.9341
0.058	7.0	4816	0.4252	0.9349
0.0315	8.0	5504	0.4736	0.9310
0.0166	9.0	6192	0.4649	0.9349
0.0143	10.0	6880	0.4648	0.9341

Framework versions

Transformers 4.14.1
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3

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

roberta-base-indonesian-sentiment-analysis-smsa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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