M7 – AI Model by aomar85 | AlphaNeural AI

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aomar85/
M7

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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fine_tuned_mix200k_arabert

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: 0.2296
Accuracy: 0.9391
Precision: 0.9725
Recall: 0.9427
F1: 0.9574

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
0.1891	1.0	19794	0.1615	0.9230	0.9889	0.9041	0.9446
0.1533	2.0	39588	0.1852	0.9340	0.9804	0.9276	0.9533
0.1287	3.0	59382	0.2530	0.9387	0.9658	0.9491	0.9574
0.1032	4.0	79176	0.2296	0.9391	0.9725	0.9427	0.9574

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1