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sudanese-whisper – AI Model by MohammadJamalaldeen | AlphaNeural AI
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MohammadJamalaldeen
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sudanese-whisper
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ar
MohammadJamalaldeen/Sudanese_Dialect
apache-2.0
model-index
endpoints_compatible
us
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Sudanese Whisper - MohammadJamalaldeen
This model is a fine-tuned version of
openai/whisper-small
on the Sudanese Dialect dataset. It achieves the following results on the evaluation set:
Loss: 0.9342
Wer: 109.0044
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.3694
1.66
1000
0.8267
83.6398
0.136
3.31
2000
0.8340
107.5460
0.0695
4.97
3000
0.8763
80.6806
0.0198
6.62
4000
0.9342
109.0044
Framework versions
Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
