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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 None dataset.
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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+rocm5.1.1
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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