README.md

metadata

license: apache-2.0
base_model: facebook/wav2vec2-lv-60-espeak-cv-ft
tags:
  - generated_from_trainer
datasets:
  - voxpopuli
metrics:
  - wer
model-index:
  - name: wav2vec2-large-xls-r-300m-cs-colab-phoneme
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: voxpopuli
          type: voxpopuli
          config: cs
          split: test
          args: cs
        metrics:
          - name: Wer
            type: wer
            value: 0.44625639804785144

wav2vec2-large-xls-r-300m-cs-colab-phoneme

This model is a fine-tuned version of facebook/wav2vec2-lv-60-espeak-cv-ft on the voxpopuli dataset. It achieves the following results on the evaluation set:

• Loss: 1.9388
• Wer: 0.4463

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: 1e-05
• 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: 50
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0