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 [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8444
-- Accuracy: 0.8326
+- Loss: 0.8719
+- Accuracy: 0.8350
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4264        | 1.0   | 1563 | 0.3885          | 0.8234   |
-| 0.3453        | 2.0   | 3126 | 0.3966          | 0.832    |
-| 0.2501        | 3.0   | 4689 | 0.5283          | 0.8344   |
-| 0.1892        | 4.0   | 6252 | 0.6398          | 0.8335   |
-| 0.1415        | 5.0   | 7815 | 0.8444          | 0.8326   |
+| 0.4253        | 1.0   | 1563 | 0.4015          | 0.8230   |
+| 0.3399        | 2.0   | 3126 | 0.4190          | 0.8378   |
+| 0.2474        | 3.0   | 4689 | 0.5189          | 0.8367   |
+| 0.1869        | 4.0   | 6252 | 0.7061          | 0.8338   |
+| 0.1394        | 5.0   | 7815 | 0.8719          | 0.8350   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b1818fadea6ba57cd29046d252a0ce0e3cc60925f22cbf65bcacb60db7b80fc
+oid sha256:99403d12c5e4715aefe59ec4729e2fafe8c80ca2d1400a6e8b0c6d1285789344
 size 469264592