End of training

README.md

@@ -16,8 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 8.7163
-- Mse: 0.0707
+- Loss: 0.0558
 
 ## Model description
 
@@ -46,18 +45,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mse    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 15.8927       | 1.0   | 77   | 13.5560         | 0.1302 |
-| 13.8221       | 2.0   | 154  | 12.0384         | 0.1015 |
-| 12.247        | 3.0   | 231  | 10.4189         | 0.0757 |
-| 10.6189       | 4.0   | 308  | 9.3825          | 0.0658 |
-| 9.8026        | 5.0   | 385  | 9.0555          | 0.0682 |
-| 9.3381        | 6.0   | 462  | 8.8972          | 0.0705 |
-| 9.0607        | 7.0   | 539  | 8.8197          | 0.0716 |
-| 8.9678        | 8.0   | 616  | 8.7420          | 0.0705 |
-| 8.866         | 9.0   | 693  | 8.6984          | 0.0703 |
-| 8.8032        | 10.0  | 770  | 8.7163          | 0.0707 |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.1077        | 1.0   | 77   | 0.0958          |
+| 0.0804        | 2.0   | 154  | 0.0669          |
+| 0.058         | 3.0   | 231  | 0.0587          |
+| 0.0515        | 4.0   | 308  | 0.0572          |
+| 0.0487        | 5.0   | 385  | 0.0566          |
+| 0.0469        | 6.0   | 462  | 0.0565          |
+| 0.045         | 7.0   | 539  | 0.0559          |
+| 0.0433        | 8.0   | 616  | 0.0556          |
+| 0.0424        | 9.0   | 693  | 0.0558          |
+| 0.0415        | 10.0  | 770  | 0.0558          |
 
 
 ### Framework versions

model.safetensors

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runs/Sep13_17-41-21_72c41b25eebd/events.out.tfevents.1726249282.72c41b25eebd.181.0

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training_args.bin

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