README.md

metadata

language:
  - en
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - tobiolatunji/afrispeech-200
metrics:
  - wer
model-index:
  - name: Ru3ll/dsn_afrispeech3
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Afrispeech-200
          type: tobiolatunji/afrispeech-200
          config: all
          split: train
          args: 'config: en, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 23.825127429563658

Ru3ll/dsn_afrispeech3

This model is a fine-tuned version of ru3ll/dsn_afrispeech2/whisper-small on the Afrispeech-200 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5952
• Wer: 23.8251

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: 3.46e-06
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 498
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6516	0.5	249	0.6065	23.3294
0.8152	1.0	498	0.5952	23.8251

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2