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

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 base_model: textattack/bert-base-uncased-yelp-polarity
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: DLthon_BERT
   results: []
@@ -16,6 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [textattack/bert-base-uncased-yelp-polarity](https://huggingface.co/textattack/bert-base-uncased-yelp-polarity) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
+- F1: 0.0651
 
 ## Model description
 
@@ -44,10 +47,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 217  | nan             |
-| No log        | 2.0   | 434  | nan             |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 217  | nan             | 0.0651 |
+| No log        | 2.0   | 434  | nan             | 0.0651 |
 
 
 ### Framework versions

runs/Oct06_08-24-08_f3662dd320b6/events.out.tfevents.1728203049.f3662dd320b6.528.5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5584
+oid sha256:8def1c810d3723164c6676834167999566b8a7644fd3bdb5231f761899571ce0
+size 6255