End of training

README.md

@@ -20,11 +20,11 @@ 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: 0.4892
-- Accuracy: 0.8471
-- F1: 0.8471
-- Precision: 0.8472
-- Recall: 0.8471
+- Loss: 0.4847
+- Accuracy: 0.8462
+- F1: 0.8461
+- Precision: 0.8464
+- Recall: 0.8462
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.417         | 1.0   | 534  | 0.4315          | 0.8180   | 0.8149 | 0.8409    | 0.8180 |
-| 0.2504        | 2.0   | 1068 | 0.3921          | 0.8480   | 0.8480 | 0.8487    | 0.8480 |
-| 0.1546        | 3.0   | 1602 | 0.4892          | 0.8471   | 0.8471 | 0.8472    | 0.8471 |
+| 0.4118        | 1.0   | 534  | 0.4174          | 0.8180   | 0.8151 | 0.8395    | 0.8180 |
+| 0.2549        | 2.0   | 1068 | 0.3921          | 0.8499   | 0.8498 | 0.8509    | 0.8499 |
+| 0.161         | 3.0   | 1602 | 0.4847          | 0.8462   | 0.8461 | 0.8464    | 0.8462 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e92a61f4b7c6edcee1206b3ede8ee61ed831b96cd368ae878fc51d622a217322
+oid sha256:044e93d49558ad9960dda72a8a865459c8ccfa2d3266a8bc36e9ad171f3f9396
 size 267832560