DucPhamF8/finetuned-wav2vec2-Vietnamese-voice-recognition-v2

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wav2vec2-base-demo

This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1910
• —eval_wer: 0.1917
• —eval_runtime: 35.2532
• —evalsamplesper_second: 21.218
• —evalstepsper_second: 2.666
• —epoch: 21.33
• —step: 4500

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: 8e-06
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 30

Framework versions

• —Transformers 4.33.0.dev0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.4.dev0
• —Tokenizers 0.13.3