results – AI Model by itshiroto | AlphaNeural AI

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itshiroto/
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text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0457
Accuracy: 0.9875
F1: 0.9868
Precision: 0.9865
Recall: 0.9872

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-05
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0879	1.0	739	0.0471	0.9871	0.9865	0.9837	0.9893
0.0443	2.0	1478	0.0391	0.9895	0.9890	0.9872	0.9908
0.0241	3.0	2217	0.0615	0.9871	0.9866	0.9803	0.9929
0.0103	4.0	2956	0.0792	0.9868	0.9861	0.9893	0.9829
0.0029	5.0	3695	0.0767	0.9885	0.9879	0.9886	0.9872

Framework versions

Transformers 4.45.2
Pytorch 2.4.1
Datasets 2.19.2
Tokenizers 0.20.1