Upload tokenizer
Browse files- README.md +9 -9
- tokenizer_config.json +1 -2
README.md
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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_17_0
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metrics:
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- wer
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- bleu
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model-index:
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- name: wav2vec2-mms-1b-CV17.0-training_set_variations
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results:
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- task:
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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_17_0
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type: common_voice_17_0
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split: validation
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args: ta
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metrics:
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type: wer
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value: 0.4250355227574827
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value: 0.3461897882903843
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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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---
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base_model: facebook/mms-1b-all
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datasets:
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- common_voice_17_0
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library_name: transformers
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license: cc-by-nc-4.0
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metrics:
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- wer
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- bleu
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-mms-1b-CV17.0-training_set_variations
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: common_voice_17_0
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type: common_voice_17_0
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split: validation
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args: ta
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metrics:
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- type: wer
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value: 0.4250355227574827
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name: Wer
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- type: bleu
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value: 0.3461897882903843
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name: Bleu
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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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tokenizer_config.json
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"processor_class": "Wav2Vec2Processor",
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"replace_word_delimiter_char": " ",
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"target_lang": "tam-
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"replace_word_delimiter_char": " ",
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"target_lang": "tam-1024",
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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