hadith-finetuned-ner3 – AI Model by AhmedTaha012 | AlphaNeural AI

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AhmedTaha012/
hadith-finetuned-ner3

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token-classification

generated_from_trainer

CAMeL-Lab/bert-base-arabic-camelbert-msa-ner

autotrain_compatible

endpoints_compatible

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hadith-finetuned-ner3

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa-ner on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1498
Precision: 0.8960
Recall: 0.9633
F1: 0.9284
Accuracy: 0.9487

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4348	1.0	468	0.4253	0.7616	0.8286	0.7936	0.8541
0.3218	2.0	937	0.2721	0.8330	0.9113	0.8704	0.9095
0.375	3.0	1405	0.2008	0.8685	0.9423	0.9039	0.9316
0.1527	4.0	1874	0.1727	0.8791	0.9611	0.9183	0.9407
0.123	4.99	2340	0.1498	0.8960	0.9633	0.9284	0.9487

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1