This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1378
Accuracy: 0.9673
Precision: 0.9653
Recall: 0.9638
F1: 0.9645

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1939	1.0	248	0.1323	0.9585	0.9548	0.9553	0.9550
0.0906	2.0	496	0.1087	0.9691	0.9658	0.9673	0.9666
0.0332	3.0	744	0.1378	0.9673	0.9653	0.9638	0.9645

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

almaran/indo_sentiment_indobertweet

indo_sentiment_indobertweet

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

almaran/
indo_sentiment_indobertweet