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bert-base-cased-PubmedQAmodel

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pythonist commited on Apr 26, 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 [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9589
 ## Model description
@@ -39,32 +39,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 20
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 21   | 3.4082          |
-| No log        | 2.0   | 42   | 3.2677          |
-| No log        | 3.0   | 63   | 3.1695          |
-| No log        | 4.0   | 84   | 3.1515          |
-| No log        | 5.0   | 105  | 3.0953          |
-| No log        | 6.0   | 126  | 3.0906          |
-| No log        | 7.0   | 147  | 2.9182          |
-| No log        | 8.0   | 168  | 3.1660          |
-| No log        | 9.0   | 189  | 3.1540          |
-| No log        | 10.0  | 210  | 3.4559          |
-| No log        | 11.0  | 231  | 3.5064          |
-| No log        | 12.0  | 252  | 3.7371          |
-| No log        | 13.0  | 273  | 3.7140          |
-| No log        | 14.0  | 294  | 3.7878          |
-| No log        | 15.0  | 315  | 3.8032          |
-| No log        | 16.0  | 336  | 3.7973          |
-| No log        | 17.0  | 357  | 3.8729          |
-| No log        | 18.0  | 378  | 3.9404          |
-| No log        | 19.0  | 399  | 3.9781          |
-| No log        | 20.0  | 420  | 3.9589          |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.1602
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 8
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 21   | 3.3780          |
+| No log        | 2.0   | 42   | 3.2694          |
+| No log        | 3.0   | 63   | 3.1892          |
+| No log        | 4.0   | 84   | 3.1536          |
+| No log        | 5.0   | 105  | 3.1454          |
+| No log        | 6.0   | 126  | 3.1754          |
+| No log        | 7.0   | 147  | 3.1372          |
+| No log        | 8.0   | 168  | 3.1602          |
 ### Framework versions