scasutt/wav2vec2-base_toy_train_data_random_noise_0.1

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wav2vec2-basetoytraindatarandomnoise0.1

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9263
• —Wer: 0.7213

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
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 20

Training results

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.11.0+cu102
• —Datasets 2.0.0
• —Tokenizers 0.11.6