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mathildeparlo/
ar_specific_model

Name: ar_specific_model
Rating: 2.5 (6 reviews)

generated_from_trainer

ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA

finetune

autotrain_compatible

endpoints_compatible

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ar_specific_model

This model is a fine-tuned version of ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1789
Accuracy: 0.9437
F1: 0.9452
Precision: 0.9212
Recall: 0.9706

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.202	1.0	1850	0.1789	0.9437	0.9452	0.9212	0.9706

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

mathildeparlo/ar_specific_model

ar_specific_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mathildeparlo/
ar_specific_model