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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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- accuracy |
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base_model: Maltehb/danish-bert-botxo |
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model-index: |
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- name: da-sentiment |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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: 0.4976 |
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- Accuracy: 0.8377 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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- 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 |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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