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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: wav2vec2-large-xlsr-53-Bangla
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_11_0
          type: common_voice_11_0
          config: bn
          split: train+validation
          args: bn
        metrics:
          - name: Wer
            type: wer
            value: 0.5442110214000156

wav2vec2-large-xlsr-53-Bangla

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6125
  • Wer: 0.5442

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
  • 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: 500
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer
4.6881 2.28 600 1.0325 0.9634
0.8087 4.56 1200 0.6090 0.7430
0.5089 6.84 1800 0.5156 0.6615
0.3864 9.13 2400 0.5287 0.6676
0.3064 11.41 3000 0.5411 0.6278
0.2535 13.69 3600 0.5206 0.6149
0.216 15.97 4200 0.5596 0.6120
0.1852 18.25 4800 0.5658 0.5821
0.1653 20.53 5400 0.5938 0.5521
0.1499 22.81 6000 0.5825 0.5645
0.1323 25.09 6600 0.6151 0.5593
0.122 27.38 7200 0.6046 0.5556
0.1118 29.66 7800 0.6125 0.5442

Framework versions

  • Transformers 4.24.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3