metadata

tags:
  - generated_from_trainer
datasets:
  - afrispeech-200
metrics:
  - wer
model-index:
  - name: afripspeech_data_aug
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: afrispeech-200
          type: afrispeech-200
          config: all
          split: train
          args: all
        metrics:
          - name: Wer
            type: wer
            value: 6.008

afripspeech_data_aug

This model is a fine-tuned version of afrispeech_large_A100 on the afrispeech-200 dataset.

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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
training_steps: 2000
mixed_precision_training: Native AMP

Training results

https://huggingface.co/Seyfelislem/afrispeech_large_A100/tensorboard

Framework versions

Transformers 4.29.1
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3