speech-seq2seq/wav2vec2-2-gpt2-medium

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This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:

• —Loss: 3.5264
• —Wer: 1.7073

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.17.0.dev0
• —Pytorch 1.10.2+cu113
• —Datasets 1.18.3
• —Tokenizers 0.11.0