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wav2vec-large-960h – AI Model by hanifa-fy | AlphaNeural AI
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wav2vec-large-960h
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transformers
pytorch
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-large-960h
finetune
apache-2.0
endpoints_compatible
us
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wav2vec-large-960h
This model is a fine-tuned version of
facebook/wav2vec2-large-960h
on an unknown 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: 0.0001
train_batch_size: 18
eval_batch_size: 10
seed: 42
optimizer: Use 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: 800
num_epochs: 30
Training results
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
