Training in progress, step 500

README.md

@@ -8,21 +8,21 @@ metrics:
 - recall
 - f1
 model-index:
-- name: BERT-Libertarian
+- name: BERT-ukpolitics
   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-Libertarian
+# BERT-ukpolitics
 
 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: 0.1700
-- Precision: 0.5721
-- Recall: 0.5533
-- F1: 0.5625
+- Loss: 0.1119
+- Precision: 0.6922
+- Recall: 0.6077
+- F1: 0.6472
 
 ## 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  | 0.1223          | 0.5281    | 0.4609 | 0.4922 |
-| 0.1096        | 2.0   | 612  | 0.1298          | 0.5102    | 0.6126 | 0.5567 |
-| 0.1096        | 3.0   | 918  | 0.1700          | 0.5721    | 0.5533 | 0.5625 |
+| No log        | 1.0   | 306  | 0.0991          | 0.5836    | 0.5652 | 0.5742 |
+| 0.1062        | 2.0   | 612  | 0.1117          | 0.6449    | 0.5953 | 0.6191 |
+| 0.1062        | 3.0   | 918  | 0.1119          | 0.6922    | 0.6077 | 0.6472 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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