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whispertestlocal – AI Model by Shubham09 | AlphaNeural AI
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Shubham09
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whispertestlocal
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whispertestlocal
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4481
Wer: 46.1754
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: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1886
1.12
100
0.4481
46.1754
Framework versions
Transformers 4.24.0
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2