Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
CHANGED
@@ -10,42 +10,43 @@ datasets:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: Whisper Small Catalan
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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: mozilla-foundation/common_voice_11_0 ca
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type: mozilla-foundation/common_voice_11_0
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args: 'config: ml, split: test'
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metrics:
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-
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type: wer
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value: 8.569471791798646
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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: google/fleurs ca
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type: google/fleurs
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args: 'config: ml, split: test'
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metrics:
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-
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type: wer
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value: 10.64
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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: projecte-aina/parlament_parla clean
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type: projecte-aina/parlament_parla
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args: 'config: ml, split: test'
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metrics:
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-
-
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type: wer
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value: 19.0
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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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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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+
base_model: openai/whisper-small
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model-index:
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- name: Whisper Small Catalan
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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: mozilla-foundation/common_voice_11_0 ca
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type: mozilla-foundation/common_voice_11_0
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args: 'config: ml, split: test'
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metrics:
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- type: wer
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value: 8.569471791798646
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+
name: Wer
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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: google/fleurs ca
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type: google/fleurs
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args: 'config: ml, split: test'
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metrics:
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- type: wer
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value: 10.64
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+
name: Wer
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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: projecte-aina/parlament_parla clean
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type: projecte-aina/parlament_parla
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args: 'config: ml, split: test'
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metrics:
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- type: wer
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value: 19.0
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+
name: Wer
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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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