Training in progress, step 500

README.md

@@ -8,21 +8,21 @@ metrics:
 - recall
 - f1
 model-index:
-- name: BERT-worldpolitics
+- name: BERT-Economics
   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-worldpolitics
+# BERT-Economics
 
 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: 0.1773
-- Precision: 0.5895
-- Recall: 0.4879
-- F1: 0.5339
+- Loss: 0.1702
+- Precision: 0.5672
+- Recall: 0.6287
+- F1: 0.5963
 
 ## 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  | 0.1229          | 0.4522    | 0.3858 | 0.4164 |
-| 0.0968        | 2.0   | 612  | 0.1420          | 0.5316    | 0.5212 | 0.5264 |
-| 0.0968        | 3.0   | 918  | 0.1773          | 0.5895    | 0.4879 | 0.5339 |
+| No log        | 1.0   | 306  | 0.1274          | 0.5091    | 0.6051 | 0.5530 |
+| 0.0986        | 2.0   | 612  | 0.1452          | 0.5998    | 0.5523 | 0.5751 |
+| 0.0986        | 3.0   | 918  | 0.1702          | 0.5672    | 0.6287 | 0.5963 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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