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: 0.4449
-- Accuracy: 0.81
+- Loss: 0.4086
+- Accuracy: 0.895
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 51   | 0.4027          | 0.86     |
-| No log        | 2.0   | 102  | 0.4089          | 0.86     |
-| No log        | 3.0   | 153  | 0.4233          | 0.8475   |
-| No log        | 4.0   | 204  | 0.4459          | 0.805    |
-| No log        | 5.0   | 255  | 0.4449          | 0.81     |
+| No log        | 1.0   | 51   | 0.2662          | 0.915    |
+| No log        | 2.0   | 102  | 0.2977          | 0.9075   |
+| No log        | 3.0   | 153  | 0.3400          | 0.905    |
+| No log        | 4.0   | 204  | 0.3964          | 0.8925   |
+| No log        | 5.0   | 255  | 0.4086          | 0.895    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4cab8b96d7b3262bb049756df968a3e278581f2870c4ed58a72b628b8b241ca8
 size 267855978