| language: | |
| - is | |
| license: apache-2.0 | |
| tags: | |
| - whisper-event | |
| - hf-asr-leaderboard | |
| datasets: | |
| - language-and-voice-lab/samromur_asr | |
| - language-and-voice-lab/althingi_asr | |
| - language-and-voice-lab/malromur_asr | |
| - language-and-voice-lab/samromur_children | |
| - language-and-voice-lab/raddromur_asr | |
| metrics: | |
| - wer | |
| pinned: false | |
| model-index: | |
| - name: Whisper medium is | |
| results: | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Automatic Speech Recognition | |
| dataset: | |
| name: samromur | |
| type: language-and-voice-lab/samromur_asr | |
| config: samromur_asr | |
| split: test | |
| args: 'split: test' | |
| metrics: | |
| - type: wer | |
| value: 10.08% | |
| name: Wer | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Automatic Speech Recognition | |
| dataset: | |
| name: google/fleurs | |
| type: google/fleurs | |
| config: is_is | |
| split: test | |
| metrics: | |
| - type: wer | |
| value: 13.94 | |
| name: WER | |
| # openai/whisper-medium | |
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the samromur, malromur, raddromur and althingi datasets. | |
| It achieves the following results on the evaluation set, the output is lowercased and punctuation is removed: | |
| - Google Fleurs 13.94% WER | |
| - Samrómur 10.08% WER | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1.dev0 | |
| - Tokenizers 0.13.2 | |