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fine-tuned-whisper-small-darija – AI Model by Anass-Srk | AlphaNeural AI
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fine-tuned-whisper-small-darija
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper small model fine-tuned on moroccan darija
This model is a fine-tuned version of
openai/whisper-small
on the Dvoice darija v2.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.1732
Wer: 14.1994
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: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1141
2.3419
1000
0.2908
29.8924
0.0116
4.6838
2000
0.1821
15.6051
0.0009
7.0258
3000
0.1739
13.9249
0.0004
9.3677
4000
0.1721
14.3532
0.0003
11.7096
5000
0.1732
14.1994
Framework versions
Transformers 4.46.0
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
