bert-base-arabic-camelbert-da-traffics-topic-2 – AI Model by Amdalotaibi | AlphaNeural AI

You can deploy this model and start earning money today!

Amdalotaibi/
bert-base-arabic-camelbert-da-traffics-topic-2

like

0

text-classification

generated_from_trainer

CAMeL-Lab/bert-base-arabic-camelbert-da

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-base-arabic-camelbert-da-traffics-topic

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-da on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2974
Accuracy: 0.9394
Precision: 0.9298
Recall: 0.9356
F1: 0.9323

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	163	0.5848	0.8644	0.8472	0.8687	0.8550
No log	2.0	326	0.3132	0.9152	0.9054	0.9128	0.9080
No log	3.0	489	0.2805	0.9198	0.9118	0.9236	0.9164
0.8063	4.0	652	0.2552	0.9290	0.9149	0.9288	0.9214
0.8063	5.0	815	0.2769	0.9336	0.9247	0.9286	0.9261
0.8063	6.0	978	0.2679	0.9354	0.9246	0.9338	0.9289
0.0465	7.0	1141	0.2832	0.9429	0.9356	0.9380	0.9365
0.0465	8.0	1304	0.3147	0.9339	0.9326	0.9269	0.9291
0.0465	9.0	1467	0.2997	0.9394	0.9328	0.9343	0.9331
0.0073	10.0	1630	0.2974	0.9394	0.9298	0.9356	0.9323

Framework versions

Transformers 4.44.2
Pytorch 2.1.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1