Commit
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Parent(s):
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Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (26cfbfff218cb11f73dd25d59a6dc2095b504a4f)
Co-authored-by: Librarian Bot (Bot) <[email protected]>
README.md
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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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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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type: bleu
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value: 42.463
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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
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