NusaBERT-base-SmSA – AI Model by LazarusNLP | AlphaNeural AI

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LazarusNLP/
NusaBERT-base-SmSA

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text-classification

generated_from_trainer

LazarusNLP/NusaBERT-base

autotrain_compatible

endpoints_compatible

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NusaBERT-base-SmSA

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: 0.2992
F1: 0.8746

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	344	0.2119	0.895
0.3517	2.0	688	0.1745	0.9193
0.1543	3.0	1032	0.1945	0.9135
0.1543	4.0	1376	0.1901	0.9149
0.1006	5.0	1720	0.2158	0.9172
0.0652	6.0	2064	0.2796	0.9151
0.0652	7.0	2408	0.3146	0.9164

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.1