JulesGo
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bert-secabilite-regressor

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JulesGo commited on May 7

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@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [dascim/juribert-tiny](https://huggingface.co/dascim/juribert-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0257
-- Model Preparation Time: 0.0006
-- Mse: 0.0258
-- Mae: 0.1103
 ## Model description
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Mse    | Mae    |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:|
-| 0.0928        | 1.0   | 108  | 0.0562          | 0.0006                 | 0.0563 | 0.1906 |
-| 0.0531        | 2.0   | 216  | 0.0379          | 0.0006                 | 0.0380 | 0.1462 |
-| 0.0427        | 3.0   | 324  | 0.0314          | 0.0006                 | 0.0316 | 0.1292 |
-| 0.037         | 4.0   | 432  | 0.0285          | 0.0006                 | 0.0286 | 0.1205 |
-| 0.0342        | 5.0   | 540  | 0.0272          | 0.0006                 | 0.0273 | 0.1157 |
-| 0.0321        | 6.0   | 648  | 0.0263          | 0.0006                 | 0.0264 | 0.1127 |
-| 0.0311        | 7.0   | 756  | 0.0259          | 0.0006                 | 0.0260 | 0.1109 |
-| 0.0306        | 8.0   | 864  | 0.0257          | 0.0006                 | 0.0258 | 0.1103 |
 ### Framework versions

 This model is a fine-tuned version of [dascim/juribert-tiny](https://huggingface.co/dascim/juribert-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0255
+- Model Preparation Time: 0.0004
+- Mse: 0.0256
+- Mae: 0.1108
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Mse    | Mae    |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:|
+| 0.0971        | 1.0   | 108  | 0.0579          | 0.0004                 | 0.0580 | 0.1952 |
+| 0.0528        | 2.0   | 216  | 0.0377          | 0.0004                 | 0.0379 | 0.1473 |
+| 0.0423        | 3.0   | 324  | 0.0313          | 0.0004                 | 0.0314 | 0.1301 |
+| 0.0366        | 4.0   | 432  | 0.0284          | 0.0004                 | 0.0285 | 0.1213 |
+| 0.0342        | 5.0   | 540  | 0.0270          | 0.0004                 | 0.0272 | 0.1163 |
+| 0.032         | 6.0   | 648  | 0.0261          | 0.0004                 | 0.0263 | 0.1132 |
+| 0.0311        | 7.0   | 756  | 0.0257          | 0.0004                 | 0.0258 | 0.1114 |
+| 0.0306        | 8.0   | 864  | 0.0255          | 0.0004                 | 0.0256 | 0.1108 |
 ### Framework versions