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SMG0/
Model4_withclasess-arabertv2_base_T2_WS_A100v2

Name: Model4_withclasess-arabertv2_base_T2_WS_A100v2
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Model4_withclasess-arabertv2_base_T2_WS_A100v2

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 15

Training Loss	Epoch	Step	Validation Loss	F1-micro	Roc Auc	Accuracy
0.0282	1.0	507	0.0602	0.8238	0.8998	0.7891
0.0169	2.0	1014	0.0640	0.8215	0.8973	0.7765
0.0163	3.0	1521	0.0669	0.8178	0.8949	0.7716
0.0102	4.0	2028	0.0731	0.8190	0.9019	0.7877