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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Precision: 0.3143
-- Recall: 0.7097
-- F1: 0.4356
-- Accuracy: 0.9700
+- Loss: 0.1217
+- Precision: 0.3878
+- Recall: 0.7037
+- F1: 0.5
+- Accuracy: 0.9781
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1978        | 1.0   | 91   | nan             | 0.2462    | 0.5161 | 0.3333 | 0.9763   |
-| 0.1749        | 2.0   | 182  | nan             | 0.3182    | 0.6774 | 0.4330 | 0.9681   |
-| 0.0351        | 3.0   | 273  | nan             | 0.2647    | 0.5806 | 0.3636 | 0.9779   |
-| 0.0434        | 4.0   | 364  | nan             | 0.3143    | 0.7097 | 0.4356 | 0.9700   |
+| 0.398         | 1.0   | 30   | 0.1426          | 0.1493    | 0.3704 | 0.2128 | 0.9649   |
+| 0.1839        | 2.0   | 60   | 0.1316          | 0.2453    | 0.4815 | 0.325  | 0.9699   |
+| 0.1011        | 3.0   | 90   | 0.1125          | 0.3878    | 0.7037 | 0.5    | 0.9779   |
+| 0.1296        | 4.0   | 120  | 0.1217          | 0.3878    | 0.7037 | 0.5    | 0.9781   |
 
 
 ### Framework versions