End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.2297
-- Accuracy: 0.9326
+- Loss: 0.2302
+- Accuracy: 0.9322
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2228        | 1.0   | 1563 | 0.2163          | 0.9185   |
-| 0.1447        | 2.0   | 3126 | 0.2297          | 0.9326   |
+| 0.2222        | 1.0   | 1563 | 0.2148          | 0.9174   |
+| 0.1483        | 2.0   | 3126 | 0.2302          | 0.9322   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c0928a076350f4e227c03f04091dd1ffd2fd60a19145b9f23ee3ab576fa022b
+oid sha256:d7d86a0174ed3554628accfaaa8d3fe017c7f458713aed9ada9d16d0e49eb061
 size 267832560