Jeska
/

VaccinChatSentenceClassifierDutch_fromBERTje

Text Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Jeska commited on Dec 7, 2021

Commit

821d3e4

•

1 Parent(s): 82afbe4

update model card README.md

Files changed (1) hide show

README.md +20 -8

README.md CHANGED Viewed

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6987
-- Accuracy: 1.0
 ## Model description
@@ -41,15 +41,27 @@ 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: 3.0
 ### Training results
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.5521        | 1.0   | 1457 | 2.1000          | 0.6000   |
-| 1.8933        | 2.0   | 2914 | 0.9956          | 1.0      |
-| 1.2182        | 3.0   | 4371 | 0.6987          | 1.0      |
 ### Framework versions

 This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6223
+- Accuracy: 0.9068
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- num_epochs: 15.0
 ### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 3.4666        | 1.0   | 1320  | 2.3355          | 0.5768   |
+| 1.5293        | 2.0   | 2640  | 1.1118          | 0.8144   |
+| 0.8031        | 3.0   | 3960  | 0.6362          | 0.8803   |
+| 0.2985        | 4.0   | 5280  | 0.5119          | 0.8958   |
+| 0.1284        | 5.0   | 6600  | 0.5023          | 0.8931   |
+| 0.0842        | 6.0   | 7920  | 0.5246          | 0.9022   |
+| 0.0414        | 7.0   | 9240  | 0.5581          | 0.9013   |
+| 0.0372        | 8.0   | 10560 | 0.5721          | 0.9004   |
+| 0.0292        | 9.0   | 11880 | 0.5469          | 0.9141   |
+| 0.0257        | 10.0  | 13200 | 0.5871          | 0.9059   |
+| 0.0189        | 11.0  | 14520 | 0.6181          | 0.9049   |
+| 0.0104        | 12.0  | 15840 | 0.6184          | 0.9068   |
+| 0.009         | 13.0  | 17160 | 0.6013          | 0.9049   |
+| 0.0051        | 14.0  | 18480 | 0.6205          | 0.9059   |
+| 0.0035        | 15.0  | 19800 | 0.6223          | 0.9068   |
 ### Framework versions