arabert_baseline_vocabulary_task4_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: 0.8217
• Qwk: 0.0
• Mse: 0.8217

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: 16
• eval_batch_size: 16
• 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
No log	1.0	2	6.2267	0.0	6.2267
No log	2.0	4	4.6025	0.0	4.6025
No log	3.0	6	3.6163	-0.0400	3.6163
No log	4.0	8	2.7005	0.0	2.7005
No log	5.0	10	1.7780	0.0	1.7780
No log	6.0	12	1.3775	-0.0204	1.3775
No log	7.0	14	1.0431	0.0	1.0431
No log	8.0	16	0.9049	0.0	0.9049
No log	9.0	18	0.8294	0.0	0.8294
No log	10.0	20	0.8217	0.0	0.8217

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1