arabert-emotions-classification – AI Model by Yousefmd | AlphaNeural AI

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Yousefmd/
arabert-emotions-classification

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text-classification

generated_from_trainer

aubmindlab/bert-large-arabertv02

autotrain_compatible

endpoints_compatible

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arabert-emotions-classification

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

Loss: 0.2817
F1: 0.7006
Roc Auc: 0.7931
Accuracy: 0.2769

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: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	190	0.3665	0.5604	0.7049	0.1761
No log	2.0	380	0.3086	0.6755	0.7775	0.2564
0.3831	3.0	570	0.2953	0.6848	0.7812	0.2496
0.3831	4.0	760	0.2849	0.6933	0.7866	0.2615
0.3831	5.0	950	0.2817	0.7006	0.7931	0.2769

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1