ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task5_organization_fold0 – AI Model by MayBashendy | AlphaNeural AI

You can deploy this model and start earning money today!

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task5_organization_fold0

like

0

text-classification

generated_from_trainer

aubmindlab/bert-base-arabertv02

autotrain_compatible

endpoints_compatible

Views

No views yet

ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task5_organization_fold0

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: 2.1657
Qwk: 0.2625
Mse: 2.1657
Rmse: 1.4716

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	2.0855	0.0969	2.0855	1.4441
No log	1.3333	4	1.3556	0.2354	1.3556	1.1643
No log	2.0	6	1.3647	0.1574	1.3647	1.1682
No log	2.6667	8	1.3853	0.3388	1.3853	1.1770
No log	3.3333	10	1.4484	0.3241	1.4484	1.2035
No log	4.0	12	1.5155	0.2939	1.5155	1.2310
No log	4.6667	14	1.6852	0.2361	1.6852	1.2981
No log	5.3333	16	1.9218	0.2520	1.9218	1.3863
No log	6.0	18	2.0719	0.2561	2.0719	1.4394
No log	6.6667	20	2.0809	0.2520	2.0809	1.4425
No log	7.3333	22	2.0893	0.2520	2.0893	1.4455
No log	8.0	24	2.1103	0.2520	2.1103	1.4527
No log	8.6667	26	2.1506	0.2520	2.1506	1.4665
No log	9.3333	28	2.1590	0.2625	2.1590	1.4694
No log	10.0	30	2.1657	0.2625	2.1657	1.4716

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1