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whisper-medium-20-hours-silence-text-elevenlabs-500-ii-winter-menu – AI Model by shreyasdesaisuperU | AlphaNeural AI
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whisper-medium-20-hours-silence-text-elevenlabs-500-ii-winter-menu
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
shreyasdesaisuperU/whisper-medium-20-hours-silence-text-elevenlabs-500-ii
finetune
endpoints_compatible
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Whisper Large Eleven Labs SSD superU
This model is a fine-tuned version of
shreyasdesaisuperU/whisper-medium-20-hours-silence-text-elevenlabs-500-ii
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0008
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0001
100.0
100
0.0008
0.0
Framework versions
Transformers 4.46.2
Pytorch 2.2.2+cu121
Datasets 3.1.0
Tokenizers 0.20.3
