stepanom_model – AI Model by stepanom | AlphaNeural AI | AlphaNeural AI

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stepanom/
stepanom_model

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text-classification

generated_from_trainer

aubmindlab/bert-base-arabertv02

autotrain_compatible

endpoints_compatible

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stepanom_model

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2797
Accuracy: 0.9348

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: 2.937e-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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3672	1.0	539	0.7685	0.8328
0.5966	2.0	1078	0.4007	0.8982
0.3074	3.0	1617	0.3301	0.9149
0.1851	4.0	2156	0.3010	0.9249
0.1099	5.0	2695	0.2945	0.9274
0.0758	6.0	3234	0.2832	0.9321
0.044	7.0	3773	0.2797	0.9348
0.0285	8.0	4312	0.2868	0.9337

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2