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Whisper-Sudanese-Dialect-medium – AI Model by AymanMansour | AlphaNeural AI
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AymanMansour
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Whisper-Sudanese-Dialect-medium
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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openai/whisper-medium
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: 1.2201
Wer: 44.6966
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.0566
6.02
1000
0.9354
47.1998
0.0025
13.01
2000
1.0806
47.5605
0.0012
19.03
3000
1.1642
47.6665
0.0002
26.01
4000
1.1866
44.9724
0.0001
33.0
5000
1.2201
44.6966
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2
