juancavallotti
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roberta-base-culinary

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juancavallotti commited on Sep 21, 2022

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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-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1108
 ## Model description
@@ -45,22 +45,22 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step   | Validation Loss |
 |:-------------:|:-----:|:------:|:---------------:|
-| 1.5688        | 1.0   | 39865  | 1.4449          |
-| 1.4332        | 2.0   | 79730  | 1.3822          |
-| 1.277         | 3.0   | 119595 | 1.3387          |
-| 1.3483        | 4.0   | 159460 | 1.2833          |
-| 1.2675        | 5.0   | 199325 | nan             |
-| 1.2381        | 6.0   | 239190 | 1.2546          |
-| 1.1841        | 7.0   | 279055 | 1.2204          |
-| 1.1608        | 8.0   | 318920 | 1.2095          |
-| 1.2045        | 9.0   | 358785 | 1.1817          |
-| 1.1401        | 10.0  | 398650 | 1.1810          |
-| 1.0748        | 11.0  | 438515 | 1.1499          |
-| 1.0857        | 12.0  | 478380 | 1.1345          |
-| 1.0561        | 13.0  | 518245 | 1.1332          |
-| 1.0431        | 14.0  | 558110 | 1.1127          |
-| 1.0273        | 15.0  | 597975 | 1.1091          |
-| 1.0275        | 16.0  | 637840 | 1.1108          |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.1032
 ## Model description
 | Training Loss | Epoch | Step   | Validation Loss |
 |:-------------:|:-----:|:------:|:---------------:|
+| 1.5135        | 1.0   | 39823  | 1.4635          |
+| 1.454         | 2.0   | 79646  | 1.3753          |
+| 1.3924        | 3.0   | 119469 | 1.3375          |
+| 1.3379        | 4.0   | 159292 | 1.2886          |
+| 1.2969        | 5.0   | 199115 | 1.2595          |
+| 1.2495        | 6.0   | 238938 | nan             |
+| 1.1768        | 7.0   | 278761 | 1.2283          |
+| 1.1687        | 8.0   | 318584 | 1.2109          |
+| 1.2148        | 9.0   | 358407 | 1.1671          |
+| 1.133         | 10.0  | 398230 | 1.1721          |
+| 1.0882        | 11.0  | 438053 | 1.1624          |
+| 1.0749        | 12.0  | 477876 | 1.1321          |
+| 1.092         | 13.0  | 517699 | nan             |
+| 1.0594        | 14.0  | 557522 | 1.1186          |
+| 1.0292        | 15.0  | 597345 | 1.1074          |
+| 0.9973        | 16.0  | 637168 | 1.1032          |
 ### Framework versions