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gseovana
/
llama-vaccine-stance-ptbr-lora

Text Classification
PEFT
Safetensors
Portuguese
lora
llama
stance-detection
vaccines
portuguese
nlp
social-media
youtube
Eval Results (legacy)
Model card Files
xet
 Community
gseovana commited on
Commit
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Update README.md

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  1. README.md +10 -19
README.md CHANGED
@@ -27,13 +27,13 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.914
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  - name: Recall
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  type: recall
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- value: 0.891
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  - name: F1
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  type: f1
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- value: 0.903
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  - task:
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  type: text-classification
@@ -44,13 +44,13 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.929
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  - name: Recall
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  type: recall
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- value: 0.972
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  - name: F1
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  type: f1
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- value: 0.950
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  - task:
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  type: text-classification
@@ -61,13 +61,13 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.926
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  - name: Recall
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  type: recall
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- value: 0.941
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  - name: F1
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  type: f1
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- value: 0.933
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  - task:
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  type: text-classification
@@ -78,16 +78,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.937
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- - name: Precision
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- type: precision
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- value: 0.923
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- - name: Recall
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- type: recall
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- value: 0.935
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- - name: F1
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- type: f1
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- value: 0.929
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  ---
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  <div align="center">
 
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  metrics:
28
  - name: Precision
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  type: precision
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+ value: 0.87
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  - name: Recall
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  type: recall
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+ value: 0.89
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  - name: F1
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  type: f1
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+ value: 0.88
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  - task:
39
  type: text-classification
 
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  metrics:
45
  - name: Precision
46
  type: precision
47
+ value: 0.91
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  - name: Recall
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  type: recall
50
+ value: 0.91
51
  - name: F1
52
  type: f1
53
+ value: 0.91
54
 
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  - task:
56
  type: text-classification
 
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  metrics:
62
  - name: Precision
63
  type: precision
64
+ value: 0.95
65
  - name: Recall
66
  type: recall
67
+ value: 0.94
68
  - name: F1
69
  type: f1
70
+ value: 0.94
71
 
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  - task:
73
  type: text-classification
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.92
 
 
 
 
 
 
 
 
 
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  ---
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  <div align="center">