---
tags:
- generated_from_trainer
datasets:
- danish_legal_pile
model-index:
- name: danish-legal-xlm-base-mlm
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# danish-legal-xlm-base-mlm

This model is a fine-tuned version of [data/plms/danish-legal-xlm-base](https://huggingface.co/data/plms/danish-legal-xlm-base) on the danish_legal_pile dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7384

## 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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: tpu
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 100000

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.8936        | 22.9  | 50000  | 0.7870          |
| 0.827         | 45.81 | 100000 | 0.7385          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.12.0+cu102
- Datasets 2.0.0
- Tokenizers 0.12.0