End of training

README.md

@@ -6,9 +6,6 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
-- f1
-- recall
-- precision
 model-index:
 - name: populism_model87
   results: []
@@ -21,11 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3271
-- Accuracy: 0.9497
-- F1: 0.4857
-- Recall: 0.6538
-- Precision: 0.3864
+- Loss: 0.4375
+- Accuracy: 0.8699
+- 1-f1: 0.3304
+- 1-recall: 0.6588
+- 1-precision: 0.2205
+- Balanced Acc: 0.7698
 
 ## Model description
 
@@ -55,18 +53,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| No log        | 1.0   | 45   | 0.2276          | 0.9246   | 0.4490 | 0.8462 | 0.3056    |
-| 0.3113        | 2.0   | 90   | 0.2303          | 0.9288   | 0.4516 | 0.8077 | 0.3134    |
-| 0.2173        | 3.0   | 135  | 0.2637          | 0.9378   | 0.4734 | 0.7692 | 0.3419    |
-| 0.1832        | 4.0   | 180  | 0.2761          | 0.9274   | 0.4468 | 0.8077 | 0.3088    |
-| 0.1423        | 5.0   | 225  | 0.3271          | 0.9497   | 0.4857 | 0.6538 | 0.3864    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.533         | 1.0   | 55   | 0.5034          | 0.9513   | 0.0    | 0.0      | 0.0         | 0.5          |
+| 0.4457        | 2.0   | 110  | 0.4659          | 0.8332   | 0.2442 | 0.5529   | 0.1567      | 0.7003       |
+| 0.3731        | 3.0   | 165  | 0.4350          | 0.8040   | 0.2692 | 0.7412   | 0.1645      | 0.7742       |
+| 0.3229        | 4.0   | 220  | 0.4390          | 0.8585   | 0.3306 | 0.7176   | 0.2148      | 0.7917       |
+| 0.293         | 5.0   | 275  | 0.4375          | 0.8699   | 0.3304 | 0.6588   | 0.2205      | 0.7698       |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
+- Transformers 4.48.0.dev0
 - Pytorch 2.5.1+cu121
 - Datasets 3.2.0
 - Tokenizers 0.21.0

model.safetensors

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