ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task3_organization_fold1 – AI Model by MayBashendy | AlphaNeural AI

You can deploy this model and start earning money today!

MayBashendy/
ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task3_organization_fold1

like

0

text-classification

generated_from_trainer

aubmindlab/bert-base-arabertv02

autotrain_compatible

endpoints_compatible

Views

No views yet

ArabicNewSplits_FineTuningAraBERT_AugV5_k1_task3_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: 0.6574
Qwk: 0.1279
Mse: 0.6574
Rmse: 0.8108

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	1.9738	0.1351	1.9738	1.4049
No log	1.3333	4	1.2506	-0.0315	1.2506	1.1183
No log	2.0	6	0.7327	0.1562	0.7327	0.8560
No log	2.6667	8	0.7001	0.2365	0.7001	0.8367
No log	3.3333	10	0.6944	0.1630	0.6944	0.8333
No log	4.0	12	0.7048	0.2426	0.7048	0.8395
No log	4.6667	14	0.6831	0.1394	0.6831	0.8265
No log	5.3333	16	0.6725	0.2035	0.6725	0.8201
No log	6.0	18	0.7655	0.3360	0.7655	0.8749
No log	6.6667	20	0.7695	0.3613	0.7695	0.8772
No log	7.3333	22	0.7119	0.2727	0.7119	0.8437
No log	8.0	24	0.6619	0.1777	0.6619	0.8136
No log	8.6667	26	0.6550	0.1037	0.6550	0.8093
No log	9.3333	28	0.6564	0.1037	0.6564	0.8102
No log	10.0	30	0.6574	0.1279	0.6574	0.8108

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1