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da-sentiment

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update model card README.md

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  ---
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- license: cc-by-4.0
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  tags:
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  - generated_from_trainer
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  metrics:
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  # da-sentiment
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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: 0.4775
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- - Accuracy: 0.8953
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 67 | 0.3141 | 0.8860 |
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- | No log | 2.0 | 134 | 0.2740 | 0.9028 |
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- | No log | 3.0 | 201 | 0.3657 | 0.8879 |
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- | No log | 4.0 | 268 | 0.3695 | 0.8897 |
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- | No log | 5.0 | 335 | 0.3790 | 0.9084 |
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- | No log | 6.0 | 402 | 0.4559 | 0.8897 |
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- | No log | 7.0 | 469 | 0.4622 | 0.8935 |
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- | 0.159 | 8.0 | 536 | 0.4491 | 0.8991 |
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- | 0.159 | 9.0 | 603 | 0.4880 | 0.8916 |
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- | 0.159 | 10.0 | 670 | 0.4775 | 0.8953 |
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  ### Framework versions
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # da-sentiment
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2350
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+ - Accuracy: 0.9308
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 67 | 0.1916 | 0.9271 |
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+ | 0.2043 | 2.0 | 134 | 0.1966 | 0.9290 |
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+ | 0.2043 | 3.0 | 201 | 0.2103 | 0.9252 |
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+ | 0.1106 | 4.0 | 268 | 0.2124 | 0.9308 |
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+ | 0.1106 | 5.0 | 335 | 0.2114 | 0.9290 |
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+ | 0.0694 | 6.0 | 402 | 0.2184 | 0.9271 |
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+ | 0.0694 | 7.0 | 469 | 0.2300 | 0.9327 |
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+ | 0.0391 | 8.0 | 536 | 0.2332 | 0.9252 |
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+ | 0.0391 | 9.0 | 603 | 0.2351 | 0.9308 |
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+ | 0.0392 | 10.0 | 670 | 0.2350 | 0.9308 |
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  ### Framework versions