README.md

metadata

language:
  - de
license: apache-2.0
tags:
  - german-swiss-zh
  - generated_from_trainer
datasets:
  - SwissDial/zh
model-index:
  - name: Whisper Small German - Fine-Tunned for Swiss Dialect
    results: []

Whisper Small German - Fine-Tunned for Swiss Dialect

This model is a fine-tuned version of openai/whisper-small on the SwissDial-ZH 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: 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: 10
• training_steps: 300

Training results

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3