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whisper-small-ar – AI Model by EmanElgallad | AlphaNeural AI
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EmanElgallad
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whisper-small-ar
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-ast-leaderboard
generated_from_trainer
ar
apache-2.0
endpoints_compatible
us
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Whisper Small arb - GP
This model is a fine-tuned version of
openai/whisper-small
on the Dialect Arabic dataset. It achieves the following results on the evaluation set:
Loss: 2.1489
Wer: 110.7984
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
1.9933
1.89
1000
2.0970
125.2555
1.3119
3.79
2000
1.9818
113.1290
0.7643
5.68
3000
2.0559
115.4176
0.5144
7.58
4000
2.1489
110.7984
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
