whisper-sm-arabic – AI Model by nouraa5 | AlphaNeural AI

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nouraa5/
whisper-sm-arabic

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_17_0

openai/whisper-small

endpoints_compatible

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whisper-sm-arabic-nouraa5

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7124
Wer: 90.9278

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: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	32	3.4835	64.3918
2.7298	2.0	64	2.1102	97.8557
2.7298	3.0	96	1.4302	82.5361
1.2041	4.0	128	1.2875	73.7113
0.7692	5.0	160	1.1756	67.5464
0.7692	6.0	192	1.0568	67.5876
0.5691	7.0	224	0.7701	61.3196
0.2735	8.0	256	0.6364	79.8351
0.2735	9.0	288	0.6546	82.8247
0.0953	9.704	310	0.7124	90.9278

Framework versions

Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1