End of training

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8838734406601743
+      value: 0.8808660461929578
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data_huggingface dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6090
-- F1: 0.8839
+- Loss: 0.6842
+- F1: 0.8809
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 47   | 0.8159          | 0.6409 |
-| No log        | 2.0   | 94   | 0.5982          | 0.8567 |
-| No log        | 3.0   | 141  | 0.6090          | 0.8839 |
+| No log        | 1.0   | 47   | 1.0471          | 0.6157 |
+| No log        | 2.0   | 94   | 0.7371          | 0.6955 |
+| No log        | 3.0   | 141  | 0.6842          | 0.8809 |
 
 
 ### Framework versions

logs/events.out.tfevents.1686662065.ls.3367814.0

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pytorch_model.bin

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tokenizer.json

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-    "pad_token": "[PAD]"
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