End of training

README.md

@@ -15,7 +15,7 @@ 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: 0.4590
+- Loss: 0.5142
 
 ## Model description
 
@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.703         | 1.0   | 50   | 0.6969          |
-| 0.6992        | 2.0   | 100  | 0.6934          |
-| 0.686         | 3.0   | 150  | 0.6882          |
-| 0.6814        | 4.0   | 200  | 0.6816          |
-| 0.6674        | 5.0   | 250  | 0.6749          |
-| 0.6629        | 6.0   | 300  | 0.6678          |
-| 0.638         | 7.0   | 350  | 0.6620          |
-| 0.6479        | 8.0   | 400  | 0.6574          |
-| 0.6557        | 9.0   | 450  | 0.6546          |
-| 0.6314        | 10.0  | 500  | 0.6519          |
-| 0.6056        | 11.0  | 550  | 0.6459          |
-| 0.639         | 12.0  | 600  | 0.6343          |
-| 0.5821        | 13.0  | 650  | 0.6090          |
-| 0.5486        | 14.0  | 700  | 0.5665          |
-| 0.4903        | 15.0  | 750  | 0.5319          |
-| 0.4866        | 16.0  | 800  | 0.5067          |
-| 0.4129        | 17.0  | 850  | 0.4793          |
-| 0.3741        | 18.0  | 900  | 0.4590          |
-| 0.29          | 19.0  | 950  | 0.4707          |
-| 0.2396        | 20.0  | 1000 | 0.5192          |
+| 0.7217        | 1.0   | 50   | 0.7158          |
+| 0.7098        | 2.0   | 100  | 0.7106          |
+| 0.7061        | 3.0   | 150  | 0.7029          |
+| 0.6946        | 4.0   | 200  | 0.6934          |
+| 0.675         | 5.0   | 250  | 0.6825          |
+| 0.657         | 6.0   | 300  | 0.6680          |
+| 0.6447        | 7.0   | 350  | 0.6544          |
+| 0.643         | 8.0   | 400  | 0.6454          |
+| 0.6224        | 9.0   | 450  | 0.6404          |
+| 0.6377        | 10.0  | 500  | 0.6338          |
+| 0.6228        | 11.0  | 550  | 0.6273          |
+| 0.6345        | 12.0  | 600  | 0.6160          |
+| 0.6088        | 13.0  | 650  | 0.5929          |
+| 0.5791        | 14.0  | 700  | 0.5753          |
+| 0.5757        | 15.0  | 750  | 0.5533          |
+| 0.5528        | 16.0  | 800  | 0.5411          |
+| 0.5043        | 17.0  | 850  | 0.5380          |
+| 0.4153        | 18.0  | 900  | 0.5142          |
+| 0.3674        | 19.0  | 950  | 0.5551          |
+| 0.4263        | 20.0  | 1000 | 0.5356          |
 
 
 ### Framework versions

logs/events.out.tfevents.1711735231.5979db352813.26588.0

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logs/events.out.tfevents.1711735694.5979db352813.26588.1

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+version https://git-lfs.github.com/spec/v1
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