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MeMo_BERT-SA_DanskBERT

Text Classification
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xlm-roberta
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  1. README.md +77 -0
  2. model.safetensors +1 -1
  3. runs/Mar15_11-23-13_460c4293bb46/events.out.tfevents.1710502355.460c4293bb46.1677.6 +3 -0
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: vesteinn/DanskBERT
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: MeMo_BERT-SA_DanskBERT
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+ results: []
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+ ---
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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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+
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+ # MeMo_BERT-SA_DanskBERT
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+
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+ This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8561
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+ - F1-score: 0.8037
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1-score |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 265 | 0.7133 | 0.7595 |
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+ | 0.7319 | 2.0 | 530 | 0.7466 | 0.7937 |
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+ | 0.7319 | 3.0 | 795 | 0.7983 | 0.7609 |
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+ | 0.3709 | 4.0 | 1060 | 1.0861 | 0.7859 |
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+ | 0.3709 | 5.0 | 1325 | 1.3603 | 0.7637 |
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+ | 0.1632 | 6.0 | 1590 | 1.3124 | 0.7835 |
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+ | 0.1632 | 7.0 | 1855 | 1.6351 | 0.7432 |
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+ | 0.0846 | 8.0 | 2120 | 1.4934 | 0.7842 |
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+ | 0.0846 | 9.0 | 2385 | 1.5827 | 0.7891 |
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+ | 0.0438 | 10.0 | 2650 | 1.8168 | 0.7695 |
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+ | 0.0438 | 11.0 | 2915 | 1.7212 | 0.7837 |
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+ | 0.0149 | 12.0 | 3180 | 1.7602 | 0.7906 |
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+ | 0.0149 | 13.0 | 3445 | 1.8375 | 0.7869 |
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+ | 0.0152 | 14.0 | 3710 | 1.9152 | 0.7768 |
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+ | 0.0152 | 15.0 | 3975 | 1.9085 | 0.7918 |
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+ | 0.0049 | 16.0 | 4240 | 1.9808 | 0.7835 |
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+ | 0.0094 | 17.0 | 4505 | 1.8629 | 0.8016 |
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+ | 0.0094 | 18.0 | 4770 | 1.8561 | 0.8037 |
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+ | 0.0027 | 19.0 | 5035 | 1.9061 | 0.7939 |
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+ | 0.0027 | 20.0 | 5300 | 1.9370 | 0.7898 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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