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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4195
-- Accuracy: 0.9267
+- Loss: 0.4272
+- Accuracy: 0.9251
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2883        | 1.0   | 623  | 0.2633          | 0.8922   |
-| 0.1677        | 2.0   | 1246 | 0.2302          | 0.9253   |
-| 0.0925        | 3.0   | 1869 | 0.3581          | 0.9207   |
-| 0.0502        | 4.0   | 2492 | 0.4022          | 0.9247   |
-| 0.0119        | 5.0   | 3115 | 0.4195          | 0.9267   |
+| 0.2895        | 1.0   | 623  | 0.2569          | 0.8930   |
+| 0.1635        | 2.0   | 1246 | 0.2479          | 0.9171   |
+| 0.0911        | 3.0   | 1869 | 0.3438          | 0.9207   |
+| 0.053         | 4.0   | 2492 | 0.3986          | 0.9223   |
+| 0.011         | 5.0   | 3115 | 0.4272          | 0.9251   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:59936a96190fc74d10ddaad70bff969b6e2952a8cf8032c596632187b3e873dd
 size 267855533