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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
|