CoolFace
Modelpublic

susmitabhatt/xlsr-nm-clp

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes8downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

xlsr-nm-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: 1.3632
  • Wer: 0.5241

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
5.05524.87802003.06461.0
3.02489.75614002.93051.0
2.838114.63416002.73491.0
2.296319.51228001.98570.9550
1.355724.390210001.31960.7685
0.641129.268312001.30630.6881
0.39434.146314001.24770.6527
0.260839.024416001.15840.6013
0.180443.902418001.23740.6013
0.144248.780520001.34780.5643
0.126453.658522001.28540.5740
0.089258.536624001.22930.5900
0.081363.414626001.20250.5482
0.059768.292728001.33390.5466
0.049573.170730001.45270.5595
0.045378.048832001.41880.5257
0.040282.926834001.27400.5289
0.036787.804936001.32370.5161
0.032492.682938001.33210.5177
0.026797.561040001.36320.5241

Framework versions

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