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whisper-finetuned-maghreb-dialect-detector – AI Model by Baraa123R | AlphaNeural AI
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Baraa123R
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whisper-finetuned-maghreb-dialect-detector
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transformers
tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper-finetuned-maghreb-dialect-detector
This model is a fine-tuned version of
openai/whisper-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4892
Wer: 67.2099
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4326
3.0770
1000
1.1722
74.2031
0.0454
6.1541
2000
1.3672
68.7769
0.0097
9.2311
3000
1.4892
67.2099
0.0008
12.3082
4000
1.5572
67.4875
Framework versions
Transformers 4.50.1
Pytorch 2.6.0+cu126
Datasets 3.4.1
Tokenizers 0.21.1
