End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5214
-- Precision: 0.1129
-- Recall: 0.1489
-- F1: 0.1284
-- Accuracy: 0.5747
+- Loss: 0.2443
+- Precision: 0.8448
+- Recall: 0.8486
+- F1: 0.8467
+- Accuracy: 0.9184
 
 ## Model description
 
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 8    | 1.6557          | 0.1034    | 0.1277 | 0.1143 | 0.5172   |
-| No log        | 2.0   | 16   | 1.5214          | 0.1129    | 0.1489 | 0.1284 | 0.5747   |
+| 0.3025        | 1.0   | 2400 | 0.2685          | 0.8215    | 0.8295 | 0.8255 | 0.9066   |
+| 0.2398        | 2.0   | 4800 | 0.2443          | 0.8448    | 0.8486 | 0.8467 | 0.9184   |
 
 
 ### Framework versions