Aadithyak/wav2vec2-finetuned-til

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wav2vec2-finetuned-til

This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 40297.4414
• —eval_wer: 1.0382
• —eval_runtime: 64.3538
• —evalsamplesper_second: 6.993
• —evalstepsper_second: 1.165
• —epoch: 3.7467
• —step: 630

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: 5e-05
• —trainbatchsize: 6
• —evalbatchsize: 6
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 24
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.5.1+cu121
• —Datasets 3.6.0
• —Tokenizers 0.21.1