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---
tags:
- generated_from_trainer
datasets:
- danish_legal_pile
metrics:
- accuracy
model-index:
- name: danish-legal-longformer-base-mlm
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: danish_legal_pile
type: danish_legal_pile
metrics:
- name: Accuracy
type: accuracy
value: 0.8285689003181987
---
<!-- 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](https://huggingface.co/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
|