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Librarian Bot: Add base_model information to model

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This pull request aims to enrich the metadata of your model by adding [`KETI-AIR/long-ke-t5-base`](https://huggingface.co/KETI-AIR/long-ke-t5-base) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!

Files changed (1) hide show
  1. README.md +24 -20
README.md CHANGED
@@ -2,41 +2,45 @@
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  language:
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  - ko
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  - en
 
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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: ko2en_bidirection2
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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: 51.5949
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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_ko2en: IBM 왓슨X는 AI 및 데이터 플랫폼이다. 신뢰할 수 있는 데이터, 속도, 거버넌스를 갖고 파운데이션 모델 및 머신 러닝 기능을 포함한 AI 모델을 학습시키고, 조정해, 조직 전체에서 활용하기 위한 전 과정을 아우르는 기술과 서비스를 제공한다."
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- example_title: "KO2EN 1"
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- - text: "translate_ko2en: 이용자는 신뢰할 수 있고 개방된 환경에서 자신의 데이터에 대해 자체적인 AI를 구축하거나, 시장에 출시된 AI 모델을 정교하게 조정할 수 있다. 대규모로 활용하기 위한 도구 세트, 기술, 인프라 및 전문 컨설팅 서비스를 활용할 수 있다."
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- example_title: "KO2EN 2"
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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: "EN2KO 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: "EN2KO 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:
3
  - ko
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  - en
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+ license: apache-2.0
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  tags:
7
  - generated_from_trainer
8
  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_ko2en: IBM 왓슨X는 AI 및 데이터 플랫폼이다. 신뢰할 수 있는 데이터, 속도, 거버넌스를 갖고 파운데이션
15
+ 모델 및 머신 러닝 기능을 포함한 AI 모델을 학습시키고, 조정해, 조직 전체에서 활용하기 위한 전 과정을 아우르는 기술과 서비스를 제공한다.'
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+ example_title: KO2EN 1
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+ - text: 'translate_ko2en: 이용자는 신뢰할 수 있고 개방된 환경에서 자신의 데이터에 대해 자체적인 AI를 구축하거나, 시장에 출시된
18
+ AI 모델을 정교하게 조정할 수 있다. 대규모로 활용하기 위한 도구 세트, 기술, 인프라 및 전문 컨설팅 서비스를 활용할 수 있다.'
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+ example_title: KO2EN 2
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+ - text: 'translate_en2ko: The Seoul Metropolitan Government said Wednesday that it
21
+ would develop an AI-based congestion monitoring system to provide better information
22
+ to passengers about crowd density at each subway station.'
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+ example_title: EN2KO 1
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+ - text: 'translate_en2ko: According to Seoul Metro, the operator of the subway service
25
+ 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: EN2KO 2
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+ base_model: KETI-AIR/long-ke-t5-base
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  model-index:
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  - name: ko2en_bidirection2
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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: 51.5949
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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