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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 (26cfbfff218cb11f73dd25d59a6dc2095b504a4f)


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

Files changed (1) hide show
  1. README.md +18 -16
README.md CHANGED
@@ -2,37 +2,39 @@
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  language:
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  - en
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  - ko
 
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  tags:
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  - generated_from_trainer
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  datasets:
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- - >-
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- KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
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  metrics:
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  - bleu
 
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: en2ko
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  results:
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  - task:
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- name: Translation
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  type: translation
 
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  dataset:
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- name: >-
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- KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
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  koen,none,none,none,none
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- type: >-
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- KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
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  args: koen,none,none,none,none
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  metrics:
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- - name: Bleu
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- type: bleu
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  value: 42.463
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- license: apache-2.0
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- pipeline_tag: translation
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- widget:
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- - text: "translate_en2ko: The Seoul Metropolitan Government said Wednesday that it would develop an AI-based congestion monitoring system to provide better information to passengers about crowd density at each subway station."
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- example_title: "Sample 1"
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- - text: "translate_en2ko: According to Seoul Metro, the operator of the subway service in Seoul, the new service will help analyze the real-time flow of passengers and crowd levels in subway compartments, improving operational efficiency."
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- example_title: "Sample 2"
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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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  language:
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  - en
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  - ko
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+ license: apache-2.0
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
 
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  metrics:
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  - bleu
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+ pipeline_tag: translation
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+ widget:
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+ - text: 'translate_en2ko: The Seoul Metropolitan Government said Wednesday that it
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+ would develop an AI-based congestion monitoring system to provide better information
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+ to passengers about crowd density at each subway station.'
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+ example_title: Sample 1
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+ - text: 'translate_en2ko: According to Seoul Metro, the operator of the subway service
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+ in Seoul, the new service will help analyze the real-time flow of passengers and
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+ crowd levels in subway compartments, improving operational efficiency.'
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+ example_title: Sample 2
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+ base_model: KETI-AIR/long-ke-t5-base
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  model-index:
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  - name: en2ko
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  results:
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  - task:
 
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  type: translation
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+ name: Translation
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  dataset:
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+ name: KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
 
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  koen,none,none,none,none
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+ type: KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
 
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  args: koen,none,none,none,none
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  metrics:
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+ - type: bleu
 
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  value: 42.463
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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