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names-whisper-en-spectrogram-pitch-shifted – AI Model by seifooo | AlphaNeural AI
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seifooo
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names-whisper-en-spectrogram-pitch-shifted
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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names-whisper-en-spectrogram-pitch-shifted
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: 0.2429
Wer: 5.4494
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: 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
0.0362
5.0251
1000
0.2300
7.0812
0.0012
10.0503
2000
0.2335
5.4763
0.0005
15.0754
3000
0.2378
5.3453
0.0003
20.1005
4000
0.2413
5.4058
0.0003
25.1256
5000
0.2429
5.4494
Framework versions
Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
