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Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (111a92390d43bdbadcd444e37f219514df77c016)


Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>

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  1. README.md +17 -17
README.md CHANGED
@@ -1,7 +1,8 @@
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  ---
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- license: apache-2.0
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  language:
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  - ur
 
 
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  tags:
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  - automatic-speech-recognition
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  - robust-speech-event
@@ -11,29 +12,28 @@ datasets:
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  metrics:
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  - wer
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  - cer
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- library_name: transformers
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  pipeline_tag: automatic-speech-recognition
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-
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  model-index:
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  - name: wav2vec2-urdu
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  results:
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  - task:
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- type: automatic-speech-recognition # Required. Example: automatic-speech-recognition
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- name: Urdu Speech Recognition # Optional. Example: Speech Recognition
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  dataset:
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- type: common_voice # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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- name: Common Voice (Urdu) # Required. A pretty name for the dataset. Example: Common Voice (French)
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  metrics:
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- - type: wer # Required. Example: wer. Use metric id from https://hf.co/metrics
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- value: 57.47 # Required. Example: 20.90
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- name: WER # Optional. Example: Test WER
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- config: load_metric("wer") # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
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- verified: true # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
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- - type: cer # Required. Example: wer. Use metric id from https://hf.co/metrics
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- value: 32.68 # Required. Example: 20.90
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- name: CER # Optional. Example: Test WER
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- config: load_metric("cer") # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
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- verified: true # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
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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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  language:
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  - ur
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+ license: apache-2.0
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+ library_name: transformers
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  tags:
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  - automatic-speech-recognition
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  - robust-speech-event
 
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  metrics:
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  - wer
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  - cer
 
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  pipeline_tag: automatic-speech-recognition
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+ base_model: Harveenchadha/vakyansh-wav2vec2-urdu-urm-60
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  model-index:
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  - name: wav2vec2-urdu
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  results:
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  - task:
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+ type: automatic-speech-recognition
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+ name: Urdu Speech Recognition
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  dataset:
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+ name: Common Voice (Urdu)
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+ type: common_voice
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  metrics:
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+ - type: wer
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+ value: 57.47
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+ name: WER
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+ config: load_metric("wer")
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+ verified: true
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+ - type: cer
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+ value: 32.68
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+ name: CER
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+ config: load_metric("cer")
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+ verified: true
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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