Zidan_model_output_80_10_10_v3 – AI Model by ZidanAf | AlphaNeural AI

You can deploy this model and start earning money today!

ZidanAf/
Zidan_model_output_80_10_10_v3

like

0

text-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

Zidan_model_output_80_10_10_v3

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: 1.6777
Accuracy: 0.7455

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	220	0.6662	0.7636
No log	2.0	440	0.6709	0.7545
0.6918	3.0	660	0.9846	0.7545
0.6918	4.0	880	1.1782	0.7364
0.277	5.0	1100	1.5201	0.7455
0.277	6.0	1320	1.5724	0.7364
0.0809	7.0	1540	1.5310	0.7364
0.0809	8.0	1760	1.6199	0.7455
0.0809	9.0	1980	1.6281	0.7545
0.0375	10.0	2200	1.5576	0.7545
0.0375	11.0	2420	1.6472	0.7455
0.0223	12.0	2640	1.6777	0.7455

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1