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update model card README.md
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            ---
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            license: cc-by-nc-4.0
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            tags:
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            - generated_from_trainer
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            datasets:
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            - common_voice
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                  name: Automatic Speech Recognition
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                  type: automatic-speech-recognition
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                dataset:
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                  name:  | 
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                  type: common_voice
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                  config: tr
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                  split: test
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                  args: tr
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                metrics:
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                - name: Wer
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                  type: wer
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                  value: 0. | 
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            ---
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            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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            # wav2vec2-common_voice-tr-mms-demo-3
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            This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the  | 
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            It achieves the following results on the evaluation set:
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            - Loss: 0. | 
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            - Wer: 0. | 
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            ## Model description
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            ---
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            language:
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            - tr
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            license: cc-by-nc-4.0
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            tags:
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            - automatic-speech-recognition
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            - common_voice
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            - generated_from_trainer
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            datasets:
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            - common_voice
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                  name: Automatic Speech Recognition
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                  type: automatic-speech-recognition
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                dataset:
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                  name: COMMON_VOICE - TR
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                  type: common_voice
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                  config: tr
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                  split: test
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                  args: 'Config: tr, Training split: train+validation, Eval split: test'
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                metrics:
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                - name: Wer
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                  type: wer
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                  value: 0.2267388417934838
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            ---
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            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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            # wav2vec2-common_voice-tr-mms-demo-3
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            This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the COMMON_VOICE - TR dataset.
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            It achieves the following results on the evaluation set:
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            - Loss: 0.1532
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            - Wer: 0.2267
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            ## Model description
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