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tawreck-hasaballah/
whisper-small-eg

Name: whisper-small-eg
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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Whisper Small Eg - Tariq Hasaballah 100330

This model is a fine-tuned version of openai/whisper-small on the ASR-EGARBCSC: AN EGYPTIAN ARABIC CONVERSATIONAL SPEECH CORPUS dataset. It achieves the following results on the evaluation set:

Loss: 0.5626
Wer: 47.4960

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7309	0.7267	125	0.5984	52.4512
0.3608	1.4535	250	0.5488	48.6031
0.1789	2.1802	375	0.5537	46.5999
0.1844	2.9070	500	0.5626	47.4960

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1

tawreck-hasaballah/whisper-small-eg

Whisper Small Eg - Tariq Hasaballah 100330

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tawreck-hasaballah/
whisper-small-eg