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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 [`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)

Files changed (1) hide show
  1. README.md +39 -38
README.md CHANGED
@@ -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
@@ -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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- - name: Accuracy
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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
@@ -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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- - name: Accuracy
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- type: accuracy
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  value: 0.9321428571428572
 
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  verified: true
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- - name: Precision Macro
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- type: precision
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  value: 0.9339627666926148
 
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  verified: true
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- - name: Precision Micro
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- type: precision
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  value: 0.9321428571428572
 
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  verified: true
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- - name: Precision Weighted
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- type: precision
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  value: 0.9339627666926148
 
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  verified: true
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- - name: Recall Macro
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- type: recall
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  value: 0.9321428571428572
 
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  verified: true
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- - name: Recall Micro
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- type: recall
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  value: 0.9321428571428572
 
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  verified: true
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- - name: Recall Weighted
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- type: recall
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  value: 0.9321428571428572
 
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  verified: true
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- - name: F1 Macro
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- type: f1
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  value: 0.9320514513719953
 
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  verified: true
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- - name: F1 Micro
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- type: f1
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  value: 0.9321428571428572
 
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  verified: true
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- - name: F1 Weighted
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- type: f1
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  value: 0.9320514513719956
 
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  verified: true
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- - name: loss
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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