This model is a fine-tuned version of openai/whisper-large-v3 on the QURANICWhisperDataset dataset. It achieves the following results on the evaluation set:

Loss: 0.1663
Wer: 112.0268

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0862	2.0	1000	0.1308	162.4365
0.0489	4.0	2000	0.1305	168.4432
0.0111	6.0	3000	0.1499	193.2011
0.0013	8.0	4000	0.1663	112.0268

Framework versions

Transformers 4.39.2
Pytorch 2.2.0
Datasets 2.18.0
Tokenizers 0.15.1

ahishamm/finetuned-whisper-quranic-large-v3-2

QURANIC Whisper Large V3 - 2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ahishamm/
finetuned-whisper-quranic-large-v3-2