README.md

metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - Bingsu/zeroth-korean
metrics:
  - wer
model-index:
  - name: Whisper Small KR - CookieMoster99
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: zeroth-korean
          type: Bingsu/zeroth-korean
          args: 'config: KR, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 34.49781659388647

Whisper Small KR - CookieMoster99

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

• Loss: 0.1071
• Wer: 34.4978

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: 4
• 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: 500
• training_steps: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0586	0.18	1000	0.1426	23.0236
0.0323	0.36	2000	0.1189	27.9777
0.028	0.54	3000	0.1071	34.4978

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.3
• Tokenizers 0.13.3