Training and evaluation loss goes down however, WER score stays the same
Hello.I have a *.ipynb file in which i am trying to fine-tune wav2vec2.0 XLSR large model on common voice Farsi dataset.I don’t know why but as steps go further, loss decreases but WER score stays the same.This is the link to my *.ipynb file.github.comrsd16/xlrsr-53-for-common-voice-persian-dataset/blob/main/nouvoversion2.ipynb{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "nouvoversion2.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "37bb09bf9dbd41e0bb670a6daa9d8928": {This file has been truncated.show originalCan anybody please help me with this?Thank you