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whisper-medium-arabic-suite-II – AI Model by Seyfelislem | AlphaNeural AI
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Seyfelislem
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whisper-medium-arabic-suite-II
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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whisper-medium-arabic-suite-II
This model is a fine-tuned version of
Seyfelislem/whisper-medium-arabic-suite
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1897
Wer: 15.6083
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 800
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.088
0.67
800
0.1897
15.6083
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.13.0
Datasets 2.10.2.dev0
Tokenizers 0.13.2
