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: 0.3581
-- Accuracy: 0.925
+- Loss: 0.2474
+- Accuracy: 0.95
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 47   | 0.5590          | 0.775    |
-| No log        | 2.0   | 94   | 0.3581          | 0.925    |
+| No log        | 1.0   | 47   | 0.4647          | 0.875    |
+| No log        | 2.0   | 94   | 0.2474          | 0.95     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ef636cfca8450d6775ac9d43080bda6f20fec67f3bf4203c21474b30fce9830b
 size 267838720