End of training

README.md

@@ -8,21 +8,21 @@ metrics:
 - recall
 - f1
 model-index:
-- name: BERT-ukpolitics
+- name: BERT-Libertarian
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# BERT-ukpolitics
+# BERT-Libertarian
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1227
-- Precision: 0.6648
-- Recall: 0.6365
-- F1: 0.6503
+- Loss: 0.1831
+- Precision: 0.5697
+- Recall: 0.5740
+- F1: 0.5718
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 306  | 0.0992          | 0.6679    | 0.5021 | 0.5732 |
-| 0.1045        | 2.0   | 612  | 0.1061          | 0.6347    | 0.6269 | 0.6308 |
-| 0.1045        | 3.0   | 918  | 0.1227          | 0.6648    | 0.6365 | 0.6503 |
+| No log        | 1.0   | 306  | 0.1200          | 0.5867    | 0.4722 | 0.5232 |
+| 0.1038        | 2.0   | 612  | 0.1409          | 0.5198    | 0.6324 | 0.5706 |
+| 0.1038        | 3.0   | 918  | 0.1831          | 0.5697    | 0.5740 | 0.5718 |
 
 
 ### Framework versions

model.safetensors

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 size 430911284

runs/May14_07-45-47_a99a388f55b4/events.out.tfevents.1715672749.a99a388f55b4.6563.6

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