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wav2vec2_murad – AI Model by MBMMurad | AlphaNeural AI

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MBMMurad/
wav2vec2_murad

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automatic-speech-recognition

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wav2vec2_murad

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the cvbn dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2006
eval_wer: 0.2084
eval_runtime: 556.4634
eval_samples_per_second: 8.985
eval_steps_per_second: 0.562
epoch: 12.32
step: 28800

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: 7.5e-05
train_batch_size: 16
eval_batch_size: 16
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: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.21.1
Pytorch 1.11.0+cu102
Datasets 2.4.0
Tokenizers 0.12.1