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whisper_finetuned – AI Model by vladimirsierra | AlphaNeural AI
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whisper_finetuned
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
multilingual
openai/whisper-large
finetune
apache-2.0
endpoints_compatible
us
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Whisper large spanish finetuned
This model is a fine-tuned version of
openai/whisper-large
on the Common Voice 11.0 dataset.
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: 1
training_steps: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
