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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
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Evaluation results