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zainulhakim/240801-wav2vec2-ASR-Global-All-Clients

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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240801-wav2vec2-ASR-Global-All-Clients

This model is a fine-tuned version of zainulhakim/240626-wav2vec2-ASR_Global on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.0667
  • —Wer: 1.0

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: 0.001
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 4
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
No log1.26581003.06671.0
No log2.53162003.08891.0
No log3.79753003.11291.0

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1