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wav2vec2hindia – AI Model by SAGAR4REAL | AlphaNeural AI

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SAGAR4REAL/
wav2vec2hindia

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automatic-speech-recognition

generated_from_trainer

endpoints_compatible

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wav2vec2hindia

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice 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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3