Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`xlm-roberta-base`](https://huggingface.co/xlm-roberta-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 was requested via the [Librarian Bot](https://huggingface.co/librarian-bot) [metadata request service](https://huggingface.co/spaces/librarian-bots/metadata_request_service) by request of [davanstrien](https://huggingface.co/davanstrien)
@@ -6,12 +6,26 @@ datasets:
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- banking77
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metrics:
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- accuracy
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model-index:
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- name: xlm-roberta-base-banking77-classification
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: banking77
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type: banking77
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@@ -19,9 +33,9 @@ model-index:
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split: train
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args: default
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metrics:
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type: accuracy
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value: 0.9321428571428572
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- task:
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type: text-classification
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name: Text Classification
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@@ -31,63 +45,50 @@ model-index:
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config: default
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split: test
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metrics:
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type: accuracy
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value: 0.9321428571428572
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verified: true
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-
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type: precision
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value: 0.9339627666926148
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verified: true
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-
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type: precision
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value: 0.9321428571428572
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verified: true
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-
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type: precision
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value: 0.9339627666926148
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verified: true
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-
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type: recall
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value: 0.9321428571428572
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verified: true
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-
-
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type: recall
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value: 0.9321428571428572
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verified: true
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-
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type: recall
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value: 0.9321428571428572
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verified: true
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type: f1
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value: 0.9320514513719953
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verified: true
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-
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type: f1
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value: 0.9321428571428572
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verified: true
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type: f1
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value: 0.9320514513719956
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verified: true
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type: loss
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value: 0.30337899923324585
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verified: true
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widget:
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- text: 'Can I track the card you sent to me? '
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example_title: Card Arrival Example - English
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- text: 'Posso tracciare la carta che mi avete spedito? '
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example_title: Card Arrival Example - Italian
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- text: Can you explain your exchange rate policy to me?
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example_title: Exchange Rate Example - English
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- text: Potete spiegarmi la vostra politica dei tassi di cambio?
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example_title: Exchange Rate Example - Italian
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- text: I can't pay by my credit card
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example_title: Card Not Working Example - English
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- text: Non riesco a pagare con la mia carta di credito
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example_title: Card Not Working Example - Italian
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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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- banking77
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metrics:
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- accuracy
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widget:
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- text: 'Can I track the card you sent to me? '
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+
example_title: Card Arrival Example - English
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+
- text: 'Posso tracciare la carta che mi avete spedito? '
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example_title: Card Arrival Example - Italian
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- text: Can you explain your exchange rate policy to me?
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example_title: Exchange Rate Example - English
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- text: Potete spiegarmi la vostra politica dei tassi di cambio?
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example_title: Exchange Rate Example - Italian
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- text: I can't pay by my credit card
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+
example_title: Card Not Working Example - English
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- text: Non riesco a pagare con la mia carta di credito
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example_title: Card Not Working Example - Italian
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base_model: xlm-roberta-base
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model-index:
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- name: xlm-roberta-base-banking77-classification
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: banking77
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type: banking77
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split: train
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args: default
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metrics:
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- type: accuracy
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value: 0.9321428571428572
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name: Accuracy
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- task:
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type: text-classification
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name: Text Classification
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config: default
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split: test
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metrics:
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- type: accuracy
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value: 0.9321428571428572
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name: Accuracy
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verified: true
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- type: precision
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value: 0.9339627666926148
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name: Precision Macro
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verified: true
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- type: precision
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value: 0.9321428571428572
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name: Precision Micro
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verified: true
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- type: precision
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value: 0.9339627666926148
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+
name: Precision Weighted
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verified: true
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+
- type: recall
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value: 0.9321428571428572
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+
name: Recall Macro
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verified: true
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- type: recall
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value: 0.9321428571428572
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name: Recall Micro
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verified: true
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- type: recall
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value: 0.9321428571428572
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+
name: Recall Weighted
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verified: true
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- type: f1
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value: 0.9320514513719953
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name: F1 Macro
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verified: true
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- type: f1
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value: 0.9321428571428572
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name: F1 Micro
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verified: true
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- type: f1
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value: 0.9320514513719956
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name: F1 Weighted
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verified: true
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- type: loss
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value: 0.30337899923324585
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name: loss
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verified: true
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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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