End of training

README.md

@@ -21,7 +21,7 @@ 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: 0.0412
+- Loss: 0.0422
 - Accuracy: 1.0
 - F1: 1.0
 - Precision: 1.0
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.3149        | 1.0   | 84   | 1.1456          | 0.8690   | 0.8679 | 0.9003    | 0.8690 |
-| 0.5046        | 2.0   | 168  | 0.3492          | 0.9881   | 0.9881 | 0.9886    | 0.9881 |
-| 0.1225        | 3.0   | 252  | 0.1019          | 0.9940   | 0.9940 | 0.9943    | 0.9940 |
-| 0.0717        | 4.0   | 336  | 0.0505          | 1.0      | 1.0    | 1.0       | 1.0    |
-| 0.0462        | 5.0   | 420  | 0.0425          | 1.0      | 1.0    | 1.0       | 1.0    |
+| 1.2278        | 1.0   | 84   | 1.0599          | 0.9048   | 0.9030 | 0.9148    | 0.9048 |
+| 0.509         | 2.0   | 168  | 0.3537          | 0.9821   | 0.9820 | 0.9829    | 0.9821 |
+| 0.1262        | 3.0   | 252  | 0.1090          | 0.9881   | 0.9881 | 0.9883    | 0.9881 |
+| 0.0686        | 4.0   | 336  | 0.0548          | 0.9940   | 0.9940 | 0.9943    | 0.9940 |
+| 0.0469        | 5.0   | 420  | 0.0482          | 0.9940   | 0.9940 | 0.9943    | 0.9940 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e45aecbef015ea787fb5a16822fc22d3d97063e20b9e4343ad0e06d0c0552880
+oid sha256:efce4fe306ec91d0a31e415e0480f823f4880e8ebd1d606c39bfa6c5fa883bb7
 size 267847948