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whisper-small-darija – AI Model by aymanebiri | AlphaNeural AI
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whisper-small-darija
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ar
atlasia/DODa-audio-dataset
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Darija
This model is a fine-tuned version of
openai/whisper-small
on the DODa dataset. It achieves the following results on the evaluation set:
Loss: 0.6569
Wer: 46.8729
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_fused 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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4177
1.7241
1000
0.4935
50.0779
0.1437
3.4483
2000
0.4961
47.4071
0.0349
5.1724
3000
0.5515
49.6105
0.0083
6.8966
4000
0.6211
47.4293
0.0027
8.6207
5000
0.6569
46.8729
Framework versions
Transformers 5.5.4
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
