hadith-finetuned-ner5 – AI Model by AhmedTaha012 | AlphaNeural AI

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AhmedTaha012/
hadith-finetuned-ner5

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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-ner5

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: 0.1474
Precision: 0.9051
Recall: 0.9571
F1: 0.9304
Accuracy: 0.9515

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
0.6051	1.0	468	0.4087	0.7964	0.8190	0.8076	0.8642
0.3247	2.0	937	0.2471	0.8617	0.9112	0.8858	0.9226
0.1684	3.0	1405	0.1951	0.8843	0.9319	0.9075	0.9370
0.1163	4.0	1874	0.1581	0.8992	0.9545	0.9260	0.9489
0.1649	4.99	2340	0.1474	0.9051	0.9571	0.9304	0.9515

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1