CoolFace
Modelpublic

mohamed-illiyas/wav2vec-malayalam-checkpoint

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face
0likes69downloads
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. -->

wav2vec-malayalam-checkpoint

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6457
  • —Wer: 0.6608

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: 0.0003
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 40
  • —num_epochs: 150
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
3.637110.01003.52001.0
3.301420.02003.20921.0
1.299730.03000.71340.8847
0.507840.04000.58050.7841
0.379550.05000.56040.7289
0.280960.06000.59620.7055
0.238170.07000.60990.6938
0.204680.08000.62370.6862
0.182690.09000.62040.6755
0.1627100.010000.63350.6751
0.1453110.011000.64460.6739
0.1359120.012000.62770.6648
0.1274130.013000.63560.6573
0.1189140.014000.64170.6601
0.1146150.015000.64570.6608

Framework versions

  • —Transformers 4.11.3
  • —Pytorch 1.9.0+cu111
  • —Datasets 1.18.3
  • —Tokenizers 0.10.3