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local_speech_processing_project_wav2vec2 – AI Model by Raffay | AlphaNeural AI
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Raffay
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local_speech_processing_project_wav2vec2
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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local_speech_processing_project_wav2vec2
This model is a fine-tuned version of
kingabzpro/wav2vec2-urdu
on the None 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: 0.00015
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: 1000
num_epochs: 10
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.0.0
Tokenizers 0.11.6
