NusaBERT-base-EmoT

This model is a fine-tuned version of LazarusNLP/NusaBERT-base on the indonlu dataset. It achieves the following results on the evaluation set:

• Loss: 0.7778
• F1: 0.761

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: 32
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	111	1.2158	0.5511
No log	2.0	222	0.8299	0.6929
No log	3.0	333	0.7713	0.7324
No log	4.0	444	0.7383	0.7431
0.8834	5.0	555	0.7813	0.7261
0.8834	6.0	666	0.7781	0.7591
0.8834	7.0	777	0.8360	0.7375
0.8834	8.0	888	0.8802	0.7287
0.8834	9.0	999	0.9192	0.7474
0.2881	10.0	1110	1.0433	0.733
0.2881	11.0	1221	1.0686	0.7277

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu118
• Datasets 2.17.1
• Tokenizers 0.15.1