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whisper-kaggle – AI Model by astrung | AlphaNeural AI
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astrung
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whisper-kaggle
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
audiofolder
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-kaggle
This model is a fine-tuned version of
openai/whisper-small
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.9632
Wer: 146.6508
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: 50
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3049
0.2
50
0.9632
146.6508
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.0
Datasets 2.14.4.dev0
Tokenizers 0.13.3
