End of training

README.md

@@ -18,9 +18,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3877
-- Accuracy: 0.9048
-- F1: 0.9028
+- Loss: 0.3691
+- Accuracy: 0.8889
+- F1: 0.8869
 
 ## Model description
 
@@ -51,7 +51,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8347        | 3.975 | 318  | 0.3877          | 0.9048   | 0.9028 |
+| No log        | 1.0   | 80   | 1.3227          | 0.6190   | 0.5528 |
+| No log        | 2.0   | 160  | 0.6966          | 0.8413   | 0.8256 |
+| No log        | 3.0   | 240  | 0.4750          | 0.8730   | 0.8676 |
+| 0.8347        | 4.0   | 320  | 0.3859          | 0.9048   | 0.9028 |
+| 0.8347        | 5.0   | 400  | 0.3788          | 0.9048   | 0.9028 |
+| 0.8347        | 6.0   | 480  | 0.3691          | 0.8889   | 0.8869 |
 
 
 ### Framework versions