Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`philschmid/flan-t5-xxl-sharded-fp16`](https://huggingface.co/philschmid/flan-t5-xxl-sharded-fp16) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.
How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.
**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).
If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!
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---
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license: apache-2.0
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datasets:
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- samsum
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language:
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- en
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library_name: transformers
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tags:
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- peft
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- lora
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- t5
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- flan
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metrics:
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- rouge
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model-index:
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- name: flan-t5-xxl-samsum-peft
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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split: train
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args: samsum
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metrics:
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-
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type: rouge
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value: 50.386161
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---
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# FLAN-T5-XXL LoRA fine-tuned on `samsum`
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---
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language:
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- en
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+
license: apache-2.0
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library_name: transformers
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tags:
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- peft
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- lora
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- t5
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- flan
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datasets:
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- samsum
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metrics:
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- rouge
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base_model: philschmid/flan-t5-xxl-sharded-fp16
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model-index:
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- name: flan-t5-xxl-samsum-peft
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results:
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- task:
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type: text2text-generation
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name: Sequence-to-sequence Language Modeling
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dataset:
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name: samsum
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type: samsum
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split: train
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args: samsum
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metrics:
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+
- type: rouge
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value: 50.386161
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name: Rouge1
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---
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# FLAN-T5-XXL LoRA fine-tuned on `samsum`
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