Zidan_model_output_80_10_10 – AI Model by ZidanAf | AlphaNeural AI

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ZidanAf/
Zidan_model_output_80_10_10

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text-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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Zidan_model_output_80_10_10

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: 1.8090
Accuracy: 0.7273

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	220	0.6488	0.7455
No log	2.0	440	0.7206	0.7364
0.6877	3.0	660	0.9170	0.7818
0.6877	4.0	880	1.2220	0.7455
0.2623	5.0	1100	1.6100	0.7364
0.2623	6.0	1320	1.8847	0.6818
0.0832	7.0	1540	1.8377	0.6909
0.0832	8.0	1760	1.6139	0.7182
0.0832	9.0	1980	1.9268	0.7
0.0502	10.0	2200	1.8679	0.7182
0.0502	11.0	2420	1.8020	0.7364
0.0311	12.0	2640	1.7905	0.7273
0.0311	13.0	2860	1.7716	0.7364
0.0252	14.0	3080	1.8070	0.7273
0.0252	15.0	3300	1.8090	0.7273

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1