readme: ---
  language:
  - as
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - as
  - robust-speech-event
  - model_for_talk
  - hf-asr-leaderboard
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: wav2vec2-large-xls-r-300m-as-v9
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8
        type: mozilla-foundation/common_voice_8_0
        args: hsb
      metrics:
      - name: Test WER
        type: wer
        value: 0.6163737676810973
      - name: Test CER
        type: cer
        value: 0.19496397642093005
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Dev Data
        type: speech-recognition-community-v2/dev_data
        args: as
      metrics:
      - name: Test WER
        type: wer
        value: NA
      - name: Test CER
        type: cer
        value: NA
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8.0
        type: mozilla-foundation/common_voice_8_0
        args: as
      metrics:
      - name: Test WER
        type: wer
        value: 61.64
  ---
  
  <!-- 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. -->
  
  # wav2vec2-large-xls-r-300m-as-v9
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1679
  - Wer: 0.5761
  
  ### Evaluation Command
  
  1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
  
  python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-as-v9 --dataset mozilla-foundation/common_voice_8_0 --config as --split test --log_outputs
  
  2. To evaluate on speech-recognition-community-v2/dev_data
  
  Assamese (as) language isn't available in speech-recognition-community-v2/dev_data
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.000111
  - train_batch_size: 16
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 300
  - num_epochs: 200
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss | Wer    |
  |:-------------:|:------:|:----:|:---------------:|:------:|
  | 8.3852        | 10.51  | 200  | 3.6402          | 1.0    |
  | 3.5374        | 21.05  | 400  | 3.3894          | 1.0    |
  | 2.8645        | 31.56  | 600  | 1.3143          | 0.8303 |
  | 1.1784        | 42.1   | 800  | 0.9417          | 0.6661 |
  | 0.7805        | 52.62  | 1000 | 0.9292          | 0.6237 |
  | 0.5973        | 63.15  | 1200 | 0.9489          | 0.6014 |
  | 0.4784        | 73.67  | 1400 | 0.9916          | 0.5962 |
  | 0.4138        | 84.21  | 1600 | 1.0272          | 0.6121 |
  | 0.3491        | 94.72  | 1800 | 1.0412          | 0.5984 |
  | 0.3062        | 105.26 | 2000 | 1.0769          | 0.6005 |
  | 0.2707        | 115.77 | 2200 | 1.0708          | 0.5752 |
  | 0.2459        | 126.31 | 2400 | 1.1285          | 0.6009 |
  | 0.2234        | 136.82 | 2600 | 1.1209          | 0.5949 |
  | 0.2035        | 147.36 | 2800 | 1.1348          | 0.5842 |
  | 0.1876        | 157.87 | 3000 | 1.1480          | 0.5872 |
  | 0.1669        | 168.41 | 3200 | 1.1496          | 0.5838 |
  | 0.1595        | 178.92 | 3400 | 1.1721          | 0.5778 |
  | 0.1505        | 189.46 | 3600 | 1.1654          | 0.5744 |
  | 0.1486        | 199.97 | 3800 | 1.1679          | 0.5761 |
  
  
  ### Framework versions
  
  - Transformers 4.16.1
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.2
  - Tokenizers 0.11.0
  