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update model card README.md

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  1. README.md +18 -13
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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4956
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- - Accuracy: 0.6737
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  ## Model description
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@@ -42,22 +42,27 @@ 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: 10
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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 | 42 | 1.3370 | 0.6707 |
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- | No log | 2.0 | 84 | 1.4095 | 0.6798 |
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- | No log | 3.0 | 126 | 1.4965 | 0.6707 |
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- | 0.077 | 4.0 | 168 | 1.4925 | 0.6798 |
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- | 0.077 | 5.0 | 210 | 1.4526 | 0.6647 |
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- | 0.077 | 6.0 | 252 | 1.4712 | 0.6737 |
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- | 0.0593 | 7.0 | 294 | 1.4944 | 0.6707 |
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- | 0.0593 | 8.0 | 336 | 1.4980 | 0.6677 |
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- | 0.0593 | 9.0 | 378 | 1.4897 | 0.6707 |
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- | 0.0646 | 10.0 | 420 | 1.4956 | 0.6737 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4976
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+ - Accuracy: 0.8377
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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: 15
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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 | 58 | 0.6168 | 0.7446 |
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+ | No log | 2.0 | 116 | 0.5689 | 0.7554 |
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+ | 0.4255 | 3.0 | 174 | 0.5542 | 0.7814 |
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+ | 0.4255 | 4.0 | 232 | 0.5224 | 0.7944 |
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+ | 0.2655 | 5.0 | 290 | 0.5172 | 0.8030 |
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+ | 0.2655 | 6.0 | 348 | 0.4992 | 0.8182 |
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+ | 0.1944 | 7.0 | 406 | 0.4852 | 0.8290 |
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+ | 0.1944 | 8.0 | 464 | 0.4972 | 0.8312 |
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+ | 0.1772 | 9.0 | 522 | 0.4905 | 0.8333 |
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+ | 0.1772 | 10.0 | 580 | 0.4915 | 0.8290 |
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+ | 0.1772 | 11.0 | 638 | 0.4936 | 0.8333 |
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+ | 0.1654 | 12.0 | 696 | 0.4939 | 0.8333 |
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+ | 0.1654 | 13.0 | 754 | 0.4944 | 0.8377 |
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+ | 0.1605 | 14.0 | 812 | 0.4969 | 0.8355 |
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+ | 0.1605 | 15.0 | 870 | 0.4976 | 0.8377 |
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  ### Framework versions