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Update README.md

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@@ -17,10 +17,18 @@ model-index:
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  name: SentiNews
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  config: sentence_level
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  metrics:
 
 
 
 
 
 
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  - type: f1
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  value: 0.6934678744913757
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  name: Validation macro F1
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-
 
 
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  ---
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  # sloberta-sentinews-sentence
@@ -63,7 +71,7 @@ test_data = data.select(split["test_indices"])
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  ## Evaluation results
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- Best validation results:
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  ```
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  {
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  "eval_accuracy": 0.7207815275310835,
@@ -79,4 +87,22 @@ Best validation results:
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  "eval_recall_neutral": 0.7438413361169103,
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  "eval_recall_positive": 0.6031746031746031
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  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  name: SentiNews
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  config: sentence_level
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  metrics:
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+ - type: f1
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+ value: 0.6851357247321056
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+ name: Test macro F1
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+ - type: accuracy
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+ value: 0.7158081705150977
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+ name: Test accuracy
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  - type: f1
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  value: 0.6934678744913757
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  name: Validation macro F1
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+ - type: accuracy
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+ value: 0.7207815275310835
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+ name: Validation accuracy
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  ---
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  # sloberta-sentinews-sentence
 
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  ## Evaluation results
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+ Best validation set results:
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  ```
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  {
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  "eval_accuracy": 0.7207815275310835,
 
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  "eval_recall_neutral": 0.7438413361169103,
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  "eval_recall_positive": 0.6031746031746031
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  }
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+ ```
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+
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+ Test set results:
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+ ```
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+ {
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+ "test_loss": 0.6395984888076782,
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+ "test_accuracy": 0.7158081705150977,
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+ "test_precision_negative": 0.6570397111913358,
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+ "test_recall_negative": 0.7292965271593945,
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+ "test_f1_negative": 0.6912850812407682,
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+ "test_precision_neutral": 0.7748017998714377,
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+ "test_recall_neutral": 0.7418957734919983,
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+ "test_f1_neutral": 0.7579918247563149,
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+ "test_precision_positive": 0.6155642023346304,
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+ "test_recall_positive": 0.5969811320754717,
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+ "test_f1_positive": 0.6061302681992337,
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+ "test_f1_macro": 0.6851357247321056,
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+ }
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  ```