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README.md
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language:
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- sr
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license: apache-2.0
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base_model: openai/whisper-
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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metrics:
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- wer
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model-index:
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- name: Whisper
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results:
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- task:
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name: Automatic Speech Recognition
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# Whisper Small Sr Fleurs
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-
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It achieves the following results on the evaluation set:
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- Loss: 0.1749
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- Wer Ortho: 0.1678
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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language:
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- sr
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license: apache-2.0
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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datasets:
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- google/fleurs
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- mozilla-foundation/common_voice_13_0
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metrics:
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- wer
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model-index:
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- name: Whisper Large Sr Combined
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results:
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- task:
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name: Automatic Speech Recognition
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# Whisper Small Sr Fleurs
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-large-v2) on the combined Google Fleurs and Mozilla Foundation Common Voice 13 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1749
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- Wer Ortho: 0.1678
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| 81 |
- Transformers 4.33.1
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| 82 |
- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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| 84 |
+
- Tokenizers 0.13.3
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