hadith-finetuned-ner7 – AI Model by AhmedTaha012 | AlphaNeural AI

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AhmedTaha012/
hadith-finetuned-ner7

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token-classification

generated_from_trainer

asafaya/bert-mini-arabic

autotrain_compatible

endpoints_compatible

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hadith-finetuned-ner7

This model is a fine-tuned version of asafaya/bert-mini-arabic on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4176
Precision: 0.7766
Recall: 0.8655
F1: 0.8186
Accuracy: 0.8686

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.5731	1.0	468	0.7481	0.6098	0.6000	0.6049	0.7053
0.5834	2.0	937	0.6664	0.6260	0.8033	0.7036	0.7561
0.5302	3.0	1405	0.5467	0.7129	0.8154	0.7607	0.8199
0.5547	4.0	1874	0.4914	0.7503	0.8325	0.7892	0.8460
0.4274	5.0	2342	0.4517	0.7666	0.8459	0.8043	0.8587
0.3865	6.0	2811	0.4496	0.7543	0.8640	0.8055	0.8575
0.4777	7.0	3279	0.4187	0.7780	0.8613	0.8175	0.8683
0.3952	7.99	3744	0.4176	0.7766	0.8655	0.8186	0.8686

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1