README.md

metadata

language:
  - ac
license: apache-2.0
base_model: openai/whisper-small
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - tericlabs
metrics:
  - wer
model-index:
  - name: Whisper Small acholi
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Sunbird
          type: tericlabs
        metrics:
          - name: Wer
            type: wer
            value: 121.88961646398504

Whisper Small acholi

This model is a fine-tuned version of openai/whisper-small on the Sunbird dataset. It achieves the following results on the evaluation set:

• Loss: 2.8028
• Wer: 121.8896

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.8441	3.32	1000	2.8028	121.8896

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0