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whisper-small-arabic – AI Model by MohammadJamalaldeen | AlphaNeural AI
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MohammadJamalaldeen
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whisper-small-arabic
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ar
endpoints_compatible
us
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Whisper Small - Arabic language
This model is a fine-tuned version of
MohammadJamalaldeen/whisper-small-with-google-fleurs-ar-4000_steps
. It achieves the following results on the evaluation set:
Loss: 0.5364
Wer: 23.5875
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
0.0071
3.8
1000
0.4950
25.4875
0.0003
7.6
2000
0.5170
23.8000
0.0001
11.41
3000
0.5300
23.6125
0.0001
15.21
4000
0.5364
23.5875
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.7.0
Tokenizers 0.13.2
