medicalBert

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0432
• Accuracy: 1.0

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: 32
• eval_batch_size: 32
• 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	Accuracy
No log	1.0	19	1.3351	0.6579
No log	2.0	38	0.7920	0.8289
No log	3.0	57	0.4334	0.8684
No log	4.0	76	0.2400	0.9605
No log	5.0	95	0.1408	0.9868
No log	6.0	114	0.1014	1.0
No log	7.0	133	0.0681	1.0
No log	8.0	152	0.0478	1.0
No log	9.0	171	0.0442	1.0
No log	10.0	190	0.0432	1.0

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2