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ihanif/pashto-asr-v3

sourceHugging Facemitupdated 2y agoView on Hugging Face
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pashto-asr-v3

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1448
  • —Wer: 0.1396

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 1300
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
2.96980.80891002.89280.9991
0.80951.61782000.60350.4036
0.61522.42673000.48570.3593
0.39513.23564000.46610.3505
0.54934.04455000.36510.2779
0.45884.85346000.32440.2632
0.36165.66237000.29540.2490
0.19386.47128000.26550.2341
0.20477.28019000.25100.2022
0.25968.089010000.19530.1756
0.18718.897911000.17160.1642
0.07689.706812000.15590.1554
0.102110.515713000.14480.1396

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1