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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- danish_legal_pile |
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metrics: |
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- accuracy |
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model-index: |
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- name: danish-legal-longformer-base-mlm |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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dataset: |
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name: danish_legal_pile |
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type: danish_legal_pile |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8285689003181987 |
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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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# danish-legal-longformer-base-mlm |
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This model is a fine-tuned version of [data/plms/danish-legal-longformer-base](https://huggingface.co/data/plms/danish-legal-longformer-base) on the danish_legal_pile dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7374 |
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- Accuracy: 0.8286 |
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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: 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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- training_steps: 64000 |
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- mixed_precision_training: Native AMP |
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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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| 0.7425 | 14.69 | 32000 | 0.7502 | 0.8259 | |
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| 0.7257 | 29.37 | 64000 | 0.7368 | 0.8287 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.0.0 |
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- Tokenizers 0.12.1 |
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