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whisper-small-arabic – AI Model by ara7698 | AlphaNeural AI
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whisper-small-arabic
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
crtvai/arabic_speech_to_text_20241218_173148_7rkwsy
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 2.5273
Wer: 183.8758
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: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.4252
0.6127
1000
2.6363
104.5182
2.277
1.2255
2000
2.5575
104.3469
2.2654
1.8382
3000
2.5080
139.0364
2.0268
2.4510
4000
2.5273
183.8758
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
