awkokawokawokoaw – AI Model by bwahyuh | AlphaNeural AI

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bwahyuh/
awkokawokawokoaw

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text-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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awkokawokawokoaw

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

Loss: 0.5909
Accuracy: 0.7917
Precision: 0.7547
Recall: 0.7583
F1: 0.7544

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0793	1.0	169	1.0677	0.4333	0.1444	0.3333	0.2016
0.9871	2.0	338	0.9369	0.625	0.4613	0.5010	0.4515
0.7801	3.0	507	0.6453	0.76	0.7061	0.6986	0.7008
0.5823	4.0	676	0.5909	0.7917	0.7547	0.7583	0.7544

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1