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danish-legal-longformer-base
coastalcph/danish-legal-longformer-base
danish-legal-longformer-base is a fill-mask model from coastalcph. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- longformer
- Access
- Public
- Created
- Oct 6, 2022
- Updated
- Oct 7, 2022
- SHA
- 5656123f
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
danish-legal-longformer-base-mlm
This model is a fine-tuned version of data/plms/danish-legal-longformer-base on the danish_legal_pile dataset. It achieves the following results on the evaluation set:
- Loss: 0.7374
- Accuracy: 0.8286
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 64000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7425 | 14.69 | 32000 | 0.7502 | 0.8259 |
| 0.7257 | 29.37 | 64000 | 0.7368 | 0.8287 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.12.0+cu113
- Datasets 2.0.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- longformer
- Created
- Oct 6, 2022
- Updated
- Oct 7, 2022