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: 0.1217
-- Precision: 0.3878
-- Recall: 0.7037
-- F1: 0.5
-- Accuracy: 0.9781
+- Loss: 0.0071
+- Precision: 0.4595
+- Recall: 0.8095
+- F1: 0.5862
+- Accuracy: 0.9978
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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   |
+| 0.0653        | 1.0   | 73   | 0.0097          | 0.5156    | 0.7857 | 0.6226 | 0.9963   |
+| 0.0307        | 2.0   | 146  | 0.0056          | 0.5263    | 0.7143 | 0.6061 | 0.9986   |
+| 0.027         | 3.0   | 219  | 0.0081          | 0.4667    | 0.8333 | 0.5983 | 0.9971   |
+| 0.0046        | 4.0   | 292  | 0.0071          | 0.4595    | 0.8095 | 0.5862 | 0.9978   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 496250232