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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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# whisper-medium-et-ERR2020
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.3672
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- Wer: 15.9119
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## Model description
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| 0.0459 | 1.13 | 9000 | 0.3704 | 17.9073 |
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| 0.0425 | 1.23 | 10000 | 0.3672 | 15.9119 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+rocm5.1.
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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license: apache-2.0
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tags:
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- generated_from_trainer
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- whisper-event
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metrics:
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- wer
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model-index:
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# whisper-medium-et-ERR2020
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following training sets: Common Voice 11, VoxPopuli, FLEURS and [ERR2020](http://bark.phon.ioc.ee/lw/korpused/ERR2020.html). The checkpoint-7000 was on [Whisper Event leaderboard](https://huggingface.co/spaces/whisper-event/winners?dataset=mozilla-foundation%2Fcommon_voice_11_0). Current score is for the final checkpoint.
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## Model description
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| 0.0459 | 1.13 | 9000 | 0.3704 | 17.9073 |
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| 0.0425 | 1.23 | 10000 | 0.3672 | 15.9119 |
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The validation set is combined from the validation sets of Common Voice 11, VoxPopuli, FLEURS and ERR2020.
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+rocm5.1.1h
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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