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aomar85/
StanceNakba-EXP3

Name: StanceNakba-EXP3
Availability: InStock

generated_from_trainer

aubmindlab/bert-base-arabertv02-twitter

finetune

text-embeddings-inference

endpoints_compatible

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Twitter_augmented-fold4

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02-twitter on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4068
Accuracy: 0.8932
Macro F1: 0.8926
Weighted F1: 0.8931
F1 Pro: 0.9244
F1 Against: 0.8828
F1 Neutral: 0.8705

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	F1 Pro	F1 Against	F1 Neutral
0.9109	0.5882	50	0.6188	0.7596	0.7586	0.7605	0.8387	0.7433	0.6939
0.5757	1.1765	100	0.5021	0.8042	0.8000	0.8020	0.8584	0.8029	0.7386
0.4534	1.7647	150	0.4326	0.8220	0.8192	0.8205	0.8621	0.8171	0.7784
0.314	2.3529	200	0.3683	0.8516	0.8512	0.8519	0.8789	0.8455	0.8293
0.2206	2.9412	250	0.3733	0.8754	0.8751	0.8758	0.9083	0.8672	0.85
0.1604	3.5294	300	0.3939	0.8754	0.8743	0.8749	0.8889	0.8755	0.8586
0.1398	4.1176	350	0.4068	0.8932	0.8926	0.8931	0.9244	0.8828	0.8705
0.0938	4.7059	400	0.4074	0.8902	0.8896	0.8903	0.9279	0.8794	0.8615

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

aomar85/StanceNakba-EXP3

Twitter_augmented-fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aomar85/
StanceNakba-EXP3