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roberta-base-squad2-coffee20230108

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nejox commited on Jan 8, 2023

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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9218
 ## Model description
@@ -46,21 +46,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 3    | 1.2587          |
-| No log        | 2.0   | 6    | 1.2307          |
-| No log        | 3.0   | 9    | 1.1921          |
-| No log        | 4.0   | 12   | 1.1438          |
-| No log        | 5.0   | 15   | 1.1002          |
-| No log        | 6.0   | 18   | 1.0606          |
-| No log        | 7.0   | 21   | 1.0239          |
-| No log        | 8.0   | 24   | 0.9841          |
-| No log        | 9.0   | 27   | 0.9559          |
-| No log        | 10.0  | 30   | 0.9304          |
-| No log        | 11.0  | 33   | 0.9123          |
-| No log        | 12.0  | 36   | 0.9023          |
-| No log        | 13.0  | 39   | 0.9010          |
-| No log        | 14.0  | 42   | 0.9052          |
-| No log        | 15.0  | 45   | 0.9218          |
 ### Framework versions

 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 4.2379
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 90   | 1.6912          |
+| 1.8817        | 2.0   | 180  | 1.7054          |
+| 1.3233        | 3.0   | 270  | 1.6376          |
+| 0.9894        | 4.0   | 360  | 2.1005          |
+| 0.7526        | 5.0   | 450  | 2.7104          |
+| 0.6553        | 6.0   | 540  | 2.2928          |
+| 0.5512        | 7.0   | 630  | 2.6380          |
+| 0.4148        | 8.0   | 720  | 2.8010          |
+| 0.2964        | 9.0   | 810  | 3.1167          |
+| 0.2538        | 10.0  | 900  | 3.5313          |
+| 0.2538        | 11.0  | 990  | 3.6620          |
+| 0.1918        | 12.0  | 1080 | 4.1138          |
+| 0.1363        | 13.0  | 1170 | 4.0901          |
+| 0.1606        | 14.0  | 1260 | 4.2286          |
+| 0.1162        | 15.0  | 1350 | 4.2379          |
 ### Framework versions