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wav2vec2-base-timit-demo-test_jong

Automatic Speech Recognition

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wav2vec2-base-timit-demo-test_jong

This model is a fine-tuned version of facebook/wav2vec2-base 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: 0.0001
train_batch_size: 32
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: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu102
Datasets 1.13.3
Tokenizers 0.10.3

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Automatic Speech Recognition

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Evaluation results

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