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whisper-small-informal-arabic – AI Model by Talyiamira | AlphaNeural AI
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whisper-small-informal-arabic
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
arabic
generated_from_trainer
ar
itskavya/gp
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Informal Arabic
This model is a fine-tuned version of
openai/whisper-small
on the Informal Arabic dataset. It achieves the following results on the evaluation set:
Loss: 0.5477
Wer: 31.3087
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: 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: 100
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0003
71.4286
1000
0.5191
30.3694
0.0002
142.8571
2000
0.5477
31.3087
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu118
Datasets 3.3.2
Tokenizers 0.21.0
