Librarian Bot: Add base_model information to model
#1
by
librarian-bot - opened
README.md
CHANGED
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@@ -1,7 +1,7 @@
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---
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license: apache-2.0
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language:
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- es
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tags:
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- whisper-event
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- generated_from_trainer
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@@ -12,12 +12,13 @@ datasets:
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- facebook/voxpopuli
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metrics:
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- wer
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model-index:
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- name: openai/whisper-medium
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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 es
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type: mozilla-foundation/common_voice_11_0
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@@ -25,15 +26,15 @@ model-index:
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split: test
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args: es
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metrics:
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-
-
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type: wer
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value: 6.346473676004366
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-
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-
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value: 2.1391
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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: FLEURS ASR
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type: google/fleurs
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@@ -41,15 +42,15 @@ model-index:
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split: test
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args: es
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metrics:
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-
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type: wer
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value: 4.0266
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-
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-
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value: 1.6631
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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: Multilingual LibriSpeech
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type: facebook/multilingual_librispeech
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@@ -58,12 +59,12 @@ model-index:
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args:
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language: es
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metrics:
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-
-
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type: wer
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value: 4.6644
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-
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-
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value: 1.7056
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- task:
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type: Automatic Speech Recognition
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name: speech-recognition
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@@ -75,12 +76,12 @@ model-index:
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args:
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language: es
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metrics:
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-
-
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type: wer
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value: 8.3668
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-
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-
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value: 5.479
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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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| 1 |
---
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language:
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- es
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+
license: apache-2.0
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tags:
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- whisper-event
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- generated_from_trainer
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- facebook/voxpopuli
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metrics:
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- wer
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base_model: openai/whisper-medium
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model-index:
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- name: openai/whisper-medium
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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 es
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type: mozilla-foundation/common_voice_11_0
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split: test
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args: es
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metrics:
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- type: wer
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value: 6.346473676004366
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name: Wer
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- type: cer
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value: 2.1391
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+
name: Cer
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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: FLEURS ASR
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type: google/fleurs
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split: test
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args: es
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metrics:
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- type: wer
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value: 4.0266
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name: WER
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- type: cer
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value: 1.6631
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+
name: Cer
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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: Multilingual LibriSpeech
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type: facebook/multilingual_librispeech
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args:
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language: es
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metrics:
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- type: wer
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value: 4.6644
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name: WER
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- type: cer
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value: 1.7056
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+
name: Cer
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- task:
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type: Automatic Speech Recognition
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name: speech-recognition
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args:
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language: es
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metrics:
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- type: wer
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value: 8.3668
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name: WER
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+
- type: cer
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value: 5.479
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+
name: Cer
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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
|