wrete-indonlu – AI Model by jalaluddin94 | AlphaNeural AI

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jalaluddin94/
wrete-indonlu

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text-classification

generated_from_trainer

indobenchmark/indobert-large-p2

autotrain_compatible

endpoints_compatible

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wrete-indonlu

This model is a fine-tuned version of indobenchmark/indobert-large-p2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2132
Accuracy: 0.96
Precision: 0.96
Recall: 0.96
F1 Score: 0.9595

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: 2e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 Score
0.1827	1.0	88	0.5099	0.92	0.92	0.92	0.9190
0.1296	2.0	176	0.3912	0.92	0.92	0.92	0.9190
0.0752	3.0	264	0.3517	0.94	0.94	0.94	0.9388
0.0706	4.0	352	0.3343	0.94	0.94	0.94	0.9388
0.0591	5.0	440	0.2691	0.94	0.94	0.94	0.9388
0.0556	6.0	528	0.2263	0.96	0.96	0.96	0.9595
0.0472	7.0	616	0.2132	0.96	0.96	0.96	0.9595

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2