ner-DarijaBERT-arabizi – AI Model by oelbourki | AlphaNeural AI

You can deploy this model and start earning money today!

oelbourki/
ner-DarijaBERT-arabizi

like

0

token-classification

generated_from_trainer

SI2M-Lab/DarijaBERT-arabizi

endpoints_compatible

Views

No views yet

ner-DarijaBERT-arabizi

This model is a fine-tuned version of SI2M-Lab/DarijaBERT-arabizi on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1011
Precision: 0.7475
Recall: 0.7753
F1: 0.7611
Accuracy: 0.9681

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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	32	0.3240	0.5397	0.3251	0.4058	0.8996
No log	2.0	64	0.2541	0.5593	0.4720	0.5120	0.9203
No log	3.0	96	0.2062	0.5697	0.5828	0.5762	0.9350
No log	4.0	128	0.1791	0.6162	0.6313	0.6236	0.9426
No log	5.0	160	0.1528	0.6504	0.6803	0.6650	0.9509
No log	6.0	192	0.1308	0.6880	0.7262	0.7066	0.9582
No log	7.0	224	0.1189	0.7126	0.7270	0.7198	0.9612
No log	8.0	256	0.1100	0.7307	0.7661	0.7480	0.9651
No log	9.0	288	0.1037	0.7423	0.7567	0.7494	0.9667
No log	10.0	320	0.1011	0.7475	0.7753	0.7611	0.9681

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0