End of training

README.md

@@ -34,7 +34,7 @@ model-index:
       value: 0.0
     - name: Accuracy
       type: accuracy
-      value: 0.9256124150314223
+      value: 0.9256551665170365
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3312
+- Loss: 0.3359
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.9256
+- Accuracy: 0.9257
 
 ## Model description
 
@@ -79,8 +79,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 54   | 0.3579          | 0.0       | 0.0    | 0.0 | 0.9256   |
-| No log        | 2.0   | 108  | 0.3312          | 0.0       | 0.0    | 0.0 | 0.9256   |
+| No log        | 1.0   | 54   | 0.3751          | 0.0       | 0.0    | 0.0 | 0.9256   |
+| No log        | 2.0   | 108  | 0.3359          | 0.0       | 0.0    | 0.0 | 0.9257   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 265526309