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Add evaluation results on the default config and train split of acronym_identification
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and train split of the [acronym_identification](https://huggingface.co/datasets/acronym_identification) dataset by
@qingxuwenli
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-acronym_identification-default-7559c8-37651145037).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=acronym_identification).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=acronym_identification).
README.md
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@@ -1,27 +1,27 @@
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---
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-
tags:
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- autotrain
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language: en
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-
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-
-
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datasets:
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- lewtun/autotrain-data-acronym-identification
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- acronym_identification
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co2_eq_emissions: 10.435358044493652
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model-index:
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- name: autotrain-demo
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: acronym_identification
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type: acronym_identification
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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: 0.9708090976211485
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- task:
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type: token-classification
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name: Token Classification
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@@ -31,26 +31,36 @@ model-index:
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config: default
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split: train
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metrics:
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-
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-
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verified: true
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value:
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verified: true
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- task:
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type: token-classification
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name: Token Classification
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@@ -60,25 +70,25 @@ model-index:
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config: default
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split: validation
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metrics:
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-
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type: accuracy
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value: 0.9758354452761242
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verified: true
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-
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-
type: precision
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value: 0.9339674814732883
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verified: true
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-
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type: recall
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value: 0.9159344831326608
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verified: true
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-
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type: f1
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value: 0.9248630887185104
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verified: true
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type: loss
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value: 0.07593930512666702
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verified: true
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---
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---
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language: en
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+
tags:
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+
- autotrain
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datasets:
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- lewtun/autotrain-data-acronym-identification
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- acronym_identification
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widget:
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- text: I love AutoTrain 🤗
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co2_eq_emissions: 10.435358044493652
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model-index:
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- name: autotrain-demo
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results:
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- task:
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type: token-classification
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+
name: Token Classification
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dataset:
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name: acronym_identification
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type: acronym_identification
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args: default
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metrics:
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- type: accuracy
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value: 0.9708090976211485
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name: Accuracy
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- task:
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type: token-classification
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name: Token Classification
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config: default
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split: train
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metrics:
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- type: accuracy
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value: 0.9790759837443896
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name: Accuracy
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verified: true
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value: 0.9198149678726638
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- type: recall
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name: Recall
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- task:
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type: token-classification
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name: Token Classification
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config: default
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split: validation
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metrics:
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- type: accuracy
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value: 0.9758354452761242
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name: Accuracy
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value: 0.9339674814732883
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value: 0.9159344831326608
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name: Recall
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value: 0.07593930512666702
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name: loss
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verified: true
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---
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