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: 0.6285
+- Loss: 0.4590
 
 ## Model description
 
@@ -41,22 +41,32 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 5000
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6608        | 1.0   | 50   | 0.6593          |
-| 0.6496        | 2.0   | 100  | 0.6572          |
-| 0.6628        | 3.0   | 150  | 0.6542          |
-| 0.6627        | 4.0   | 200  | 0.6500          |
-| 0.6508        | 5.0   | 250  | 0.6454          |
-| 0.6493        | 6.0   | 300  | 0.6403          |
-| 0.6561        | 7.0   | 350  | 0.6361          |
-| 0.6719        | 8.0   | 400  | 0.6332          |
-| 0.6315        | 9.0   | 450  | 0.6307          |
-| 0.6511        | 10.0  | 500  | 0.6285          |
+| 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          |
 
 
 ### Framework versions

logs/events.out.tfevents.1711733798.5979db352813.20001.1

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