update model card README.md

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-large](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0046
+- Loss: 1.8711
 
 ## Model description
 
@@ -34,58 +34,31 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 6e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 40
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.4819        | 1.0   | 69   | 2.1984          |
-| 2.1774        | 2.0   | 138  | 2.1685          |
-| 2.0555        | 3.0   | 207  | 2.1070          |
-| 1.9779        | 4.0   | 276  | 2.0563          |
-| 1.9261        | 5.0   | 345  | 2.0365          |
-| 1.8381        | 6.0   | 414  | 2.0416          |
-| 1.8136        | 7.0   | 483  | 2.0397          |
-| 1.7682        | 8.0   | 552  | 2.0639          |
-| 1.7484        | 9.0   | 621  | 2.0264          |
-| 1.6742        | 10.0  | 690  | 2.0665          |
-| 1.6311        | 11.0  | 759  | 2.0448          |
-| 1.5907        | 12.0  | 828  | 2.0722          |
-| 1.5301        | 13.0  | 897  | 1.9631          |
-| 1.5052        | 14.0  | 966  | 2.0467          |
-| 1.4834        | 15.0  | 1035 | 1.9810          |
-| 1.4219        | 16.0  | 1104 | 2.0255          |
-| 1.4029        | 17.0  | 1173 | 2.0746          |
-| 1.3628        | 18.0  | 1242 | 1.9811          |
-| 1.3356        | 19.0  | 1311 | 2.0329          |
-| 1.3028        | 20.0  | 1380 | 2.0039          |
-| 1.2955        | 21.0  | 1449 | 1.9837          |
-| 1.2231        | 22.0  | 1518 | 1.9871          |
-| 1.2093        | 23.0  | 1587 | 2.0143          |
-| 1.1945        | 24.0  | 1656 | 1.9659          |
-| 1.1657        | 25.0  | 1725 | 2.0569          |
-| 1.1369        | 26.0  | 1794 | 1.9878          |
-| 1.0946        | 27.0  | 1863 | 2.0062          |
-| 1.063         | 28.0  | 1932 | 2.0421          |
-| 1.0521        | 29.0  | 2001 | 2.0320          |
-| 1.0443        | 30.0  | 2070 | 2.0580          |
-| 1.0325        | 31.0  | 2139 | 1.9606          |
-| 0.9804        | 32.0  | 2208 | 2.1121          |
-| 0.9674        | 33.0  | 2277 | 2.0156          |
-| 0.9563        | 34.0  | 2346 | 2.0292          |
-| 0.927         | 35.0  | 2415 | 2.0528          |
-| 0.9236        | 36.0  | 2484 | 1.9851          |
-| 0.9319        | 37.0  | 2553 | 2.0392          |
-| 0.8921        | 38.0  | 2622 | 2.0334          |
-| 0.8742        | 39.0  | 2691 | 2.0492          |
-| 0.8955        | 40.0  | 2760 | 1.9491          |
+| 2.3132        | 1.0   | 69   | 2.1302          |
+| 2.1372        | 2.0   | 138  | 2.0750          |
+| 2.0204        | 3.0   | 207  | 1.9985          |
+| 1.9231        | 4.0   | 276  | 1.9298          |
+| 1.8671        | 5.0   | 345  | 1.9031          |
+| 1.764         | 6.0   | 414  | 1.9241          |
+| 1.7491        | 7.0   | 483  | 1.9061          |
+| 1.7057        | 8.0   | 552  | 1.9247          |
+| 1.6751        | 9.0   | 621  | 1.8435          |
+| 1.5922        | 10.0  | 690  | 1.8714          |
+| 1.5859        | 11.0  | 759  | 1.8203          |
+| 1.5551        | 12.0  | 828  | 1.8823          |
 
 
 ### Framework versions