Kabir259/w2v2-base_kabir

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w2v2-base_kabir

This model is a fine-tuned version of facebook/wav2vec2-base on the Medical Speech, Transcription, and Intent dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9705
• —Wer: 0.3289

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 250
• —training_steps: 2500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.20.0