Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`ai-forever/ruBert-base`](https://huggingface.co/ai-forever/ruBert-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!
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---
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license: apache-2.0
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tags:
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- sentiment
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- emotion-classification
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- multilabel
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- multiclass
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- text: "Как дела?"
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- text: "Мне немного отвратно это делать"
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- text: "Я испытал мурашки от страха"
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- text: "Нет ничего радостного в этих горьких новостях"
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- text: "Ого, неожидал тебя здесь увидеть!"
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- text: "Фу ну и мерзость"
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- text: "Мне неприятно общение с тобой"
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metrics:
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- accuracy
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model-index:
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- name: ruBert-base-russian-emotions-classifier-goEmotions
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results:
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- task:
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name: Multilabel Text Classification
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type: multilabel-text-classification
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dataset:
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name: ru_goemotions
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type: Djacon/ru_goemotions
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args: ru
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metrics:
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type: roc_auc
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value: 92%
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- Djacon/ru_goemotions
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language:
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- ru
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---
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---
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language:
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- ru
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license: apache-2.0
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tags:
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- sentiment
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- emotion-classification
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- multilabel
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- multiclass
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datasets:
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- Djacon/ru_goemotions
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metrics:
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- accuracy
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widget:
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- text: Очень рад тебя видеть!
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- text: Как дела?
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- text: Мне немного отвратно это делать
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- text: Я испытал мурашки от страха
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- text: Нет ничего радостного в этих горьких новостях
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- text: Ого, неожидал тебя здесь увидеть!
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- text: Фу ну и мерзость
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- text: Мне неприятно общение с тобой
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base_model: ai-forever/ruBert-base
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model-index:
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- name: ruBert-base-russian-emotions-classifier-goEmotions
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results:
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- task:
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type: multilabel-text-classification
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name: Multilabel Text Classification
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dataset:
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name: ru_goemotions
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type: Djacon/ru_goemotions
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args: ru
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metrics:
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- type: roc_auc
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value: 92%
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name: multilabel ROC AUC
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---
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