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Ibrhm-S/
arabic-speech-result

Name: arabic-speech-result
Availability: InStock

automatic-speech-recognition

generated_from_trainer

Ibrhm-S/arabic-speech-to-text

model-index

endpoints_compatible

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Whisper Small Ar - Ibrhm S

This model is a fine-tuned version of Ibrhm-S/arabic-speech-to-text on the arabic-speech-to-text dataset. It achieves the following results on the evaluation set:

Loss: 3.1640
Wer: 96.5831

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: 5
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
0.0002	333.3333	1000	2.1972	94.9886
0.0001	666.6667	2000	2.7759	95.8998
0.0	1000.0	3000	3.0540	95.8998
0.0	1333.3333	4000	3.1640	96.5831

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Ibrhm-S/arabic-speech-result

Whisper Small Ar - Ibrhm S

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ibrhm-S/
arabic-speech-result