Librarian Bot: Add base_model information to model
#7
by librarian-bot - opened
README.md
CHANGED
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@@ -6,20 +6,28 @@ 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: distilbert-base-uncased-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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args: default
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metrics:
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-
-
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type: accuracy
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value: 0.924025974025974
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- task:
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type: text-classification
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name: Text Classification
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@@ -29,57 +37,50 @@ model-index:
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config: default
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split: test
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metrics:
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-
-
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type: accuracy
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value: 0.924025974025974
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verified: true
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-
-
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type: precision
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value: 0.9278003086307286
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verified: true
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-
-
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type: precision
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value: 0.924025974025974
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verified: true
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-
-
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type: precision
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value: 0.9278003086307287
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verified: true
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-
-
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type: recall
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value: 0.9240259740259743
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verified: true
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-
-
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type: recall
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value: 0.924025974025974
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verified: true
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-
-
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type: recall
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value: 0.924025974025974
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verified: true
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-
-
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type: f1
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value: 0.9243068139192414
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verified: true
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-
-
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type: f1
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value: 0.924025974025974
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verified: true
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-
-
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type: f1
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value: 0.9243068139192416
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verified: true
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-
-
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type: loss
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value: 0.31516405940055847
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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
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- text: Can you explain your exchange rate policy to me?
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example_title: Exchange Rate Example
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- text: I can't pay by my credit card
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example_title: Card Not Working Example
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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
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- text: Can you explain your exchange rate policy to me?
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example_title: Exchange Rate Example
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- text: I can't pay by my credit card
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example_title: Card Not Working Example
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base_model: distilbert-base-uncased
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model-index:
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- name: distilbert-base-uncased-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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args: default
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metrics:
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- type: accuracy
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value: 0.924025974025974
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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: 0.924025974025974
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name: Accuracy
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verified: true
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- type: precision
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value: 0.9278003086307286
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name: Precision Macro
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verified: true
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- type: precision
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value: 0.924025974025974
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name: Precision Micro
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verified: true
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- type: precision
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value: 0.9278003086307287
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name: Precision Weighted
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verified: true
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- type: recall
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value: 0.9240259740259743
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name: Recall Macro
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verified: true
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- type: recall
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value: 0.924025974025974
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name: Recall Micro
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verified: true
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- type: recall
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value: 0.924025974025974
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name: Recall Weighted
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verified: true
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- type: f1
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value: 0.9243068139192414
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name: F1 Macro
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verified: true
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- type: f1
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value: 0.924025974025974
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name: F1 Micro
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verified: true
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- type: f1
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value: 0.9243068139192416
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name: F1 Weighted
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verified: true
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- type: loss
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value: 0.31516405940055847
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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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