learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training Loss	Epoch	Step	Validation Loss	Macro F1	Macro Precision	Macro Recall	Accuracy	Accuracy With Margin	Distance	Quadratic weighted kappa	Accuracy 7	Accuracy 5	Accuracy 3
1.821	1.0	857	1.5119	0.3566	0.3707	0.3839	0.4959	0.6328	1.4432	0.7348	0.5997	0.6486	0.7185
1.2796	2.0	1714	1.4789	0.3907	0.4085	0.4181	0.5166	0.6643	1.3157	0.7614	0.6148	0.6614	0.7363
1.0458	3.0	2571	1.4990	0.4274	0.4328	0.4307	0.5224	0.6618	1.3138	0.7608	0.6141	0.6565	0.7272
0.8524	4.0	3428	1.6133	0.4380	0.4963	0.4362	0.5215	0.6625	1.3294	0.7523	0.6107	0.6536	0.7244
0.6475	5.0	4285	1.7562	0.4295	0.4317	0.4342	0.5166	0.6618	1.3260	0.7545	0.6068	0.6483	0.7237
0.5186	6.0	5142	1.8378	0.4341	0.4818	0.4366	0.5124	0.6620	1.3402	0.7507	0.6048	0.6461	0.7196

Monda/bert-base-arabertv2_Word_CE_19levels

bert-base-arabertv2_Word_CE_19levels