CoolFace
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mouseyy/result_data-5

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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result_data-5

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4794
  • Wer: 0.6674
  • Cer: 0.2557

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: 8.442713223799316e-05
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • totaltrainbatch_size: 32
  • totalevalbatch_size: 32
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 84
  • num_epochs: 7.0
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWerCer
3.16060.909910003.16501.00.9920
1.23431.819820001.03560.94740.3937
0.73382.729830000.66680.79730.3038
0.63343.639740000.58130.75600.2852
0.54144.549650000.52830.69520.2675
0.50565.459560000.50420.68210.2633
0.47786.369470000.47940.66740.2557

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0