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whisper-small-fine-arab3 – AI Model by nada123456789 | AlphaNeural AI
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whisper-small-fine-arab3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
ZC/fintunewhisperarab
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small arab
This model is a fine-tuned version of
openai/whisper-small
on the arabcorpus dataset. It achieves the following results on the evaluation set:
Loss: 0.2144
Wer: 34.6003
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.021
4.1494
1000
0.2144
34.6003
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
