finetuned-arabert-mixed-random-datasets – AI Model by aomar85 | AlphaNeural AI

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aomar85/
finetuned-arabert-mixed-random-datasets

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text-classification

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finetuned-arabert-mixed-random-datasets

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

Loss: 0.0735
Accuracy: 0.9795
Precision: 0.9798
Recall: 0.9778
F1: 0.9788

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0708	1.0	73181	0.0645	0.9773	0.9867	0.9662	0.9764
0.0612	2.0	146362	0.0763	0.9783	0.9856	0.9693	0.9774
0.0544	3.0	219543	0.0824	0.9786	0.9860	0.9695	0.9777
0.0483	4.0	292724	0.0735	0.9795	0.9798	0.9778	0.9788

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1