CoolFace
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susmitabhatt/xlsr-a-clp

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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xlsr-a-clp

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5263
  • Wer: 0.4067

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: 0.0004
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 16
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 132
  • num_epochs: 100
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
4.8585.02002.69991.0
2.265210.04001.23821.0042
0.858715.06000.58700.6960
0.389320.08000.56750.6122
0.25725.010000.49280.4822
0.186230.012000.44080.4885
0.14835.014000.55870.4298
0.120340.016000.53930.4549
0.109445.018000.48890.4403
0.090850.020000.65390.4298
0.076655.022000.44690.4109
0.067560.024000.41090.4004
0.062265.026000.45430.3962
0.061770.028000.51890.3920
0.052975.030000.42610.3878
0.051480.032000.51610.3920
0.047385.034000.47890.3983
0.041990.036000.51610.4088
0.040595.038000.52630.4067

Framework versions

  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0