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VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09

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update model card README.md

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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [outputDAQonly09/](https://huggingface.co/outputDAQonly09/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8105
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- - Accuracy: 0.8757
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  ## Model description
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@@ -41,27 +41,42 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 15.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 330 | 3.9924 | 0.2230 |
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- | 4.3795 | 2.0 | 660 | 3.1812 | 0.3958 |
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- | 4.3795 | 3.0 | 990 | 2.5904 | 0.5512 |
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- | 3.2046 | 4.0 | 1320 | 2.1536 | 0.6408 |
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- | 2.3683 | 5.0 | 1650 | 1.8079 | 0.7130 |
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- | 2.3683 | 6.0 | 1980 | 1.5420 | 0.7687 |
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- | 1.8065 | 7.0 | 2310 | 1.3434 | 0.8053 |
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- | 1.373 | 8.0 | 2640 | 1.1882 | 0.8254 |
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- | 1.373 | 9.0 | 2970 | 1.0700 | 0.8400 |
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- | 1.0931 | 10.0 | 3300 | 0.9791 | 0.8510 |
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- | 0.8714 | 11.0 | 3630 | 0.9202 | 0.8620 |
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- | 0.8714 | 12.0 | 3960 | 0.8641 | 0.8684 |
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- | 0.7428 | 13.0 | 4290 | 0.8372 | 0.8748 |
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- | 0.6531 | 14.0 | 4620 | 0.8168 | 0.8766 |
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- | 0.6531 | 15.0 | 4950 | 0.8105 | 0.8757 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  This model is a fine-tuned version of [outputDAQonly09/](https://huggingface.co/outputDAQonly09/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4978
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+ - Accuracy: 0.9031
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 30.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 330 | 3.9692 | 0.2249 |
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+ | 4.3672 | 2.0 | 660 | 3.1312 | 0.4031 |
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+ | 4.3672 | 3.0 | 990 | 2.5068 | 0.5658 |
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+ | 3.1495 | 4.0 | 1320 | 2.0300 | 0.6600 |
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+ | 2.2491 | 5.0 | 1650 | 1.6517 | 0.7450 |
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+ | 2.2491 | 6.0 | 1980 | 1.3604 | 0.7943 |
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+ | 1.622 | 7.0 | 2310 | 1.1328 | 0.8327 |
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+ | 1.1252 | 8.0 | 2640 | 0.9484 | 0.8611 |
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+ | 1.1252 | 9.0 | 2970 | 0.8212 | 0.8757 |
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+ | 0.7969 | 10.0 | 3300 | 0.7243 | 0.8830 |
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+ | 0.5348 | 11.0 | 3630 | 0.6597 | 0.8867 |
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+ | 0.5348 | 12.0 | 3960 | 0.5983 | 0.8857 |
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+ | 0.3744 | 13.0 | 4290 | 0.5635 | 0.8976 |
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+ | 0.2564 | 14.0 | 4620 | 0.5437 | 0.8985 |
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+ | 0.2564 | 15.0 | 4950 | 0.5124 | 0.9013 |
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+ | 0.1862 | 16.0 | 5280 | 0.5074 | 0.9022 |
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+ | 0.1349 | 17.0 | 5610 | 0.5028 | 0.9049 |
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+ | 0.1349 | 18.0 | 5940 | 0.4876 | 0.9077 |
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+ | 0.0979 | 19.0 | 6270 | 0.4971 | 0.9049 |
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+ | 0.0763 | 20.0 | 6600 | 0.4941 | 0.9022 |
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+ | 0.0763 | 21.0 | 6930 | 0.4957 | 0.9049 |
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+ | 0.0602 | 22.0 | 7260 | 0.4989 | 0.9049 |
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+ | 0.0504 | 23.0 | 7590 | 0.4959 | 0.9040 |
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+ | 0.0504 | 24.0 | 7920 | 0.4944 | 0.9031 |
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+ | 0.0422 | 25.0 | 8250 | 0.4985 | 0.9040 |
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+ | 0.0379 | 26.0 | 8580 | 0.4970 | 0.9049 |
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+ | 0.0379 | 27.0 | 8910 | 0.4949 | 0.9040 |
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+ | 0.0351 | 28.0 | 9240 | 0.4971 | 0.9040 |
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+ | 0.0321 | 29.0 | 9570 | 0.4967 | 0.9031 |
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+ | 0.0321 | 30.0 | 9900 | 0.4978 | 0.9031 |
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  ### Framework versions