xlsr-finetuned / README.md
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metadata
base_model: classla/wav2vec2-xls-r-parlaspeech-hr
tags:
  - generated_from_trainer
datasets:
  - audiofolder
metrics:
  - wer
model-index:
  - name: xlsr-finetuned
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: audiofolder
          type: audiofolder
          config: default
          split: test
          args: default
        metrics:
          - name: Wer
            type: wer
            value: 1

xlsr-finetuned

This model is a fine-tuned version of classla/wav2vec2-xls-r-parlaspeech-hr on the audiofolder dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1218
  • Wer: 1.0

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
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1
  • training_steps: 4

Training results

Training Loss Epoch Step Validation Loss Wer
No log 1.0 1 14.0503 20.0
3.5057 2.0 2 5.3734 4.0
3.5057 3.0 3 2.8914 1.0
1.0014 4.0 4 2.1218 1.0

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3