M4 – AI Model by aomar85 | AlphaNeural AI | AlphaNeural AI

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aomar85/
M4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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fine-tuned-arabert-arabGloss-ds

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: 0.7052
Accuracy: 0.8295
Precision: 0.8016
Recall: 0.6175
F1: 0.6976

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
0.4109	1.0	9494	0.4561	0.8065	0.6987	0.6900	0.6943
0.297	2.0	18988	0.4803	0.8213	0.7353	0.6855	0.7095
0.2316	3.0	28482	0.5530	0.8278	0.7438	0.7007	0.7216
0.1885	4.0	37976	0.7052	0.8295	0.8016	0.6175	0.6976

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1