End of training

README.md

@@ -17,8 +17,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7775
-- Accuracy: 0.8342
+- Loss: 0.7875
+- Accuracy: 0.8361
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.4489        | 1.0   | 3272  | 0.5503          | 0.7610   |
-| 0.3166        | 2.0   | 6544  | 0.4144          | 0.8378   |
-| 0.2093        | 3.0   | 9816  | 0.5677          | 0.8235   |
-| 0.165         | 4.0   | 13088 | 0.6269          | 0.8380   |
-| 0.1107        | 5.0   | 16360 | 0.7775          | 0.8342   |
+| 0.4516        | 1.0   | 3272  | 0.4798          | 0.7979   |
+| 0.3258        | 2.0   | 6544  | 0.4744          | 0.8218   |
+| 0.217         | 3.0   | 9816  | 0.5014          | 0.8340   |
+| 0.1633        | 4.0   | 13088 | 0.6027          | 0.8474   |
+| 0.1122        | 5.0   | 16360 | 0.7875          | 0.8361   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:94f7ade5664e0184156622a90816c64b463bcf10503a48524b31b167d0c90675
 size 267858605