ArabicNewSplits2_FineTuningAraBERT_noAug_task3_organization – AI Model by MayBashendy | AlphaNeural AI

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MayBashendy/
ArabicNewSplits2_FineTuningAraBERT_noAug_task3_organization

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text-classification

generated_from_trainer

aubmindlab/bert-base-arabertv02

autotrain_compatible

endpoints_compatible

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ArabicNewSplits2_FineTuningAraBERT_noAug_task3_organization

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: 0.9547
Qwk: 0.1605
Mse: 0.9547
Rmse: 0.9771

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	0.6667	2	3.5440	0.0	3.5440	1.8826
No log	1.3333	4	2.2406	0.1364	2.2406	1.4969
No log	2.0	6	1.1900	0.0	1.1900	1.0909
No log	2.6667	8	1.0074	-0.0625	1.0074	1.0037
No log	3.3333	10	1.1655	-0.2257	1.1655	1.0796
No log	4.0	12	0.8716	-0.2645	0.8716	0.9336
No log	4.6667	14	0.8761	-0.2645	0.8761	0.9360
No log	5.3333	16	0.8556	-0.0818	0.8556	0.9250
No log	6.0	18	0.8435	-0.0494	0.8435	0.9184
No log	6.6667	20	0.8984	0.2996	0.8984	0.9478
No log	7.3333	22	0.9391	0.1793	0.9391	0.9691
No log	8.0	24	0.9236	0.1853	0.9236	0.9610
No log	8.6667	26	0.9373	0.1853	0.9373	0.9681
No log	9.3333	28	0.9481	0.1605	0.9481	0.9737
No log	10.0	30	0.9547	0.1605	0.9547	0.9771

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1