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wav2vec2-base-cvbn-voted_30pochs – AI Model by MBMMurad | AlphaNeural AI

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MBMMurad/
wav2vec2-base-cvbn-voted_30pochs

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automatic-speech-recognition

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wav2vec2-base-cvbn-voted_30pochs

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: 0.2136
eval_wer: 0.3208
eval_runtime: 335.1421
eval_samples_per_second: 8.951
eval_steps_per_second: 0.561
epoch: 5.82
step: 13600

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