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--- |
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library_name: transformers |
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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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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: danskbert_indirect_speech |
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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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# danskbert_indirect_speech |
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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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- Accuracy: 0.6570 |
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- Precision: 0.6586 |
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- Recall: 0.6570 |
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- F1: 0.6525 |
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- Loss: 0.8216 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Precision | Recall | F1 | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------:|:------:|:------:|:---------------:| |
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| No log | 1.0 | 13 | 0.5457 | 0.5231 | 0.5457 | 0.4294 | 1.0285 | |
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| No log | 2.0 | 26 | 0.4100 | 0.1876 | 0.4100 | 0.2461 | 1.0252 | |
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| No log | 3.0 | 39 | 0.5023 | 0.6704 | 0.5023 | 0.4244 | 0.8830 | |
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| No log | 4.0 | 52 | 0.4991 | 0.7051 | 0.4991 | 0.4072 | 1.2035 | |
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| No log | 5.0 | 65 | 0.4291 | 0.7156 | 0.4291 | 0.2829 | 1.3921 | |
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| No log | 6.0 | 78 | 0.5491 | 0.7090 | 0.5491 | 0.4926 | 0.9938 | |
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| No log | 7.0 | 91 | 0.5763 | 0.7044 | 0.5763 | 0.5365 | 1.0815 | |
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| No log | 8.0 | 104 | 0.6624 | 0.6520 | 0.6624 | 0.6503 | 0.7027 | |
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| No log | 9.0 | 117 | 0.6374 | 0.6696 | 0.6374 | 0.6308 | 0.9327 | |
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| No log | 10.0 | 130 | 0.6549 | 0.6680 | 0.6549 | 0.6484 | 0.7493 | |
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| No log | 11.0 | 143 | 0.6552 | 0.6597 | 0.6552 | 0.6499 | 0.7772 | |
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| No log | 12.0 | 156 | 0.6604 | 0.6500 | 0.6604 | 0.6536 | 0.7496 | |
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| No log | 13.0 | 169 | 0.6556 | 0.6643 | 0.6556 | 0.6502 | 0.8145 | |
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| No log | 14.0 | 182 | 0.6588 | 0.6591 | 0.6588 | 0.6536 | 0.7831 | |
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| No log | 15.0 | 195 | 0.6622 | 0.6604 | 0.6622 | 0.6572 | 0.7797 | |
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| No log | 16.0 | 208 | 0.6588 | 0.6661 | 0.6588 | 0.6532 | 0.8084 | |
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| No log | 17.0 | 221 | 0.6624 | 0.6672 | 0.6624 | 0.6578 | 0.8129 | |
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| No log | 18.0 | 234 | 0.6597 | 0.6617 | 0.6597 | 0.6550 | 0.8171 | |
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| No log | 18.48 | 240 | 0.6570 | 0.6586 | 0.6570 | 0.6525 | 0.8216 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.5.1+cu124 |
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- Tokenizers 0.21.0 |
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