Mohammed_Saudi_Classifier_SABERT

This model is a fine-tuned version of Omartificial-Intelligence-Space/SA-BERT-V1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.0890
• Accuracy: 0.6355
• F1: 0.6159

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	60	3.7608	0.0093	0.0002
No log	2.0	120	3.6178	0.2243	0.2016
No log	3.0	180	3.1702	0.4486	0.3837
No log	4.0	240	2.8401	0.4860	0.4399
No log	5.0	300	2.5739	0.5514	0.5257
No log	6.0	360	2.4024	0.5981	0.5784
No log	7.0	420	2.2519	0.5794	0.5480
No log	8.0	480	2.1640	0.5981	0.5746
2.693	9.0	540	2.1130	0.6075	0.5796
2.693	10.0	600	2.0890	0.6355	0.6159

Framework versions

• Transformers 4.42.4
• Pytorch 2.7.1+cu126
• Datasets 3.6.0
• Tokenizers 0.19.1