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whisper-small-ar-12hrsdarijadata-April29 – AI Model by bouim | AlphaNeural AI
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whisper-small-ar-12hrsdarijadata-April29
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-small-ar-12hrsdarijadata-April29
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9985
Wer: 77.7026
Cer: 48.3376
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: 1.25e-06
train_batch_size: 16
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: 300
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
1.8036
0.38
250
1.4314
92.8372
55.4587
1.3528
0.75
500
1.1339
79.2413
48.2563
1.1316
1.13
750
1.0272
76.8802
49.5272
1.1439
1.51
1000
0.9985
77.7026
48.3376
Framework versions
Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.12.1.dev0
Tokenizers 0.13.3
