MelanieKoe/w2v2-base-pretrained_lr1e-4_at0.8_da0.6

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w2v2-base-pretrainedlr1e-4at0.8_da0.6

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: 2.5777
• —Wer: 0.1820

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: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —training_steps: 3500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.0.0
• —Datasets 2.14.6
• —Tokenizers 0.14.1