JordanWHLewis/base-model-fairseq-V1

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base-model-fairseq-V1

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 4.7644

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: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 50

Training results

Framework versions

• —Transformers 4.28.0
• —Pytorch 2.0.1
• —Datasets 2.12.0
• —Tokenizers 0.13.2