ArabicNewSplits_FineTuningAraBERT_noAug_task2_organization_fold1 – AI Model by MayBashendy | AlphaNeural AI

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MayBashendy/
ArabicNewSplits_FineTuningAraBERT_noAug_task2_organization_fold1

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text-classification

generated_from_trainer

aubmindlab/bert-base-arabertv02

autotrain_compatible

endpoints_compatible

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ArabicNewSplits_FineTuningAraBERT_noAug_task2_organization_fold1

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: 1.7710
Qwk: 0.1789
Mse: 1.7710
Rmse: 1.3308

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	1.0	2	3.4115	0.0546	3.4115	1.8470
No log	2.0	4	2.1661	0.1675	2.1661	1.4718
No log	3.0	6	0.8848	0.2974	0.8848	0.9407
No log	4.0	8	0.5051	0.3741	0.5051	0.7107
No log	5.0	10	0.6969	0.2143	0.6969	0.8348
No log	6.0	12	0.9404	0.2798	0.9404	0.9697
No log	7.0	14	1.2308	0.3037	1.2308	1.1094
No log	8.0	16	1.4754	0.1975	1.4754	1.2147
No log	9.0	18	1.6593	0.1941	1.6593	1.2881
No log	10.0	20	1.7710	0.1789	1.7710	1.3308

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1