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whisper-base-voice-commands – AI Model by NicoHi | AlphaNeural AI
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NicoHi
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whisper-base-voice-commands
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-base-voice-commands
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2549
Wer: 0.0
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
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1469
2.55
250
0.2371
0.0825
0.1369
5.1
500
0.2457
0.0
0.131
7.65
750
0.2549
0.0
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
