autoevaluator HF staff commited on
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Add evaluation results on the default config and train split of acronym_identification

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Beep 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-b06490-37652145038).\
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).

Files changed (1) hide show
  1. README.md +42 -32
README.md CHANGED
@@ -1,27 +1,27 @@
1
  ---
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- tags:
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- - autotrain
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  language: en
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- widget:
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- - text: "I love AutoTrain \U0001F917"
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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
11
  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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- - name: Accuracy
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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
@@ -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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- - name: Accuracy
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- type: accuracy
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- value: 0.9790777669399117
 
 
 
 
 
37
  verified: true
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- - name: Precision
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- type: precision
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- value: 0.9197835301644851
 
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  verified: true
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- - name: Recall
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- type: recall
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- value: 0.946479027789208
 
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  verified: true
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- - name: F1
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- type: f1
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- value: 0.9329403493591477
 
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  verified: true
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- - name: loss
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- type: loss
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- value: 0.06360606849193573
 
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  verified: true
 
54
  - task:
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  type: token-classification
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  name: Token Classification
@@ -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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- - name: Accuracy
64
- type: accuracy
65
  value: 0.9758354452761242
 
66
  verified: true
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- - name: Precision
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- type: precision
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  value: 0.9339674814732883
 
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  verified: true
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- - name: Recall
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- type: recall
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  value: 0.9159344831326608
 
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  verified: true
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- - name: F1
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- type: f1
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  value: 0.9248630887185104
 
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  verified: true
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- - name: loss
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- type: loss
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  value: 0.07593930512666702
 
82
  verified: true
83
  ---
84
 
 
1
  ---
 
 
2
  language: en
3
+ tags:
4
+ - autotrain
5
  datasets:
6
  - lewtun/autotrain-data-acronym-identification
7
  - acronym_identification
8
+ widget:
9
+ - text: I love AutoTrain 🤗
10
  co2_eq_emissions: 10.435358044493652
11
  model-index:
12
  - name: autotrain-demo
13
  results:
14
  - task:
 
15
  type: token-classification
16
+ name: Token Classification
17
  dataset:
18
  name: acronym_identification
19
  type: acronym_identification
20
  args: default
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  metrics:
22
+ - type: accuracy
 
23
  value: 0.9708090976211485
24
+ name: Accuracy
25
  - task:
26
  type: token-classification
27
  name: Token Classification
 
31
  config: default
32
  split: train
33
  metrics:
34
+ - 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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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWYyZmNlOTQ5ZDI2M2M3MzU0MjFlOTk2NmU4OWE2NmRhZjVmMjU2YjQ2NzVhOTI5NzlkNmRlMDZiZDk5MmNhZCIsInZlcnNpb24iOjF9.z2txFpso3r0MkskuoGYbp4Def5NiSyvwyY1IHrifAm_MYnELet0L5l8cs7VQiPiZiuqJ5TlfdVZw8SODoPU8BA
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+ - type: precision
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+ value: 0.9198149678726638
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+ name: Precision
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  verified: true
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+ - type: recall
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+ value: 0.9464104463281485
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+ name: Recall
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  verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODkzZDViMTMxMmVjMmVlMmJkOTE3M2NhNzQ1YTNkMTFjZjgwZDg0ZDIwOGQ5YTA5YTZjMTJiOGNjMmQ3MWViMSIsInZlcnNpb24iOjF9.18hBLYdO6I09o58rRnw3e348hTPh9qpZUyzgV_a6tiOYP0r-Jbyuya3sAKyHKpwM38Sj6GbMdWHZhSzTZQprCg
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+ - type: f1
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+ value: 0.9329232017306652
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+ name: F1
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  verified: true
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  verified: true
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+ - type: auc
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+ value: NaN
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+ name: AUC
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  verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTY5MjdlZjk1MzRiMzQ2MDJkODNlMzE0YzM4YWZlOGYwN2RhMGYxMGRmOTk0MjZmZDU0ZGNhOTZiMzk5NGQyZSIsInZlcnNpb24iOjF9.brkCtVbx4JLv4qx_fWoNywrCerV_uxjMuItJB78dAzv0OBMS6yq-78I2yYNS9acUGBNmlOcTDzxpg_oZEe0zCA
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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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  verified: true
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+ - type: precision
 
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  value: 0.9339674814732883
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+ name: Precision
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  verified: true
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+ - type: recall
 
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  value: 0.9159344831326608
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+ name: Recall
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  verified: true
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+ - type: f1
 
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  value: 0.9248630887185104
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+ name: F1
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  verified: true
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+ - type: loss
 
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  value: 0.07593930512666702
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+ name: loss
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  verified: true
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  ---
94