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: 0.1509
Accuracy: 0.9620
Precision: 0.9610
Recall: 0.9565
F1: 0.9586

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1722	1.0	248	0.1118	0.9611	0.9608	0.9547	0.9576
0.0746	2.0	496	0.1346	0.9638	0.9619	0.9594	0.9607
0.0269	3.0	744	0.1509	0.9620	0.9610	0.9565	0.9586

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

AnwarKar/indo_sentiment_indobertweet

indo_sentiment_indobertweet

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AnwarKar/
indo_sentiment_indobertweet