ImanNalia1/revised_ft_wav2vec2_base_thirty

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revisedftwav2vec2basethirty

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.7407
• —Wer: 99.8829
• —Cer: 98.8775

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: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2000
• —training_steps: 4500

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 1.12.1+cu116
• —Datasets 2.19.1
• —Tokenizers 0.19.1