---
tags:
- generated_from_trainer
datasets:
- custom_legal_danish_corpus
model-index:
- name: danish-lex-lm-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-lex-lm-base-mlm

This model is a fine-tuned version of [data/PLMs/danish-lm/danish-lex-lm-base](https://huggingface.co/data/PLMs/danish-lm/danish-lex-lm-base) on the custom_legal_danish_corpus dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7302

## 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: 0.0001
- 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: 500000

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.4648        | 5.36  | 50000  | 1.2920          |
| 1.2165        | 10.72 | 100000 | 1.0625          |
| 1.0952        | 16.07 | 150000 | 0.9611          |
| 1.0233        | 21.43 | 200000 | 0.8931          |
| 0.963         | 26.79 | 250000 | 0.8477          |
| 0.9122        | 32.15 | 300000 | 0.8168          |
| 0.8697        | 37.51 | 350000 | 0.7836          |
| 0.8397        | 42.86 | 400000 | 0.7560          |
| 0.8231        | 48.22 | 450000 | 0.7476          |
| 0.8207        | 53.58 | 500000 | 0.7243          |


### Framework versions

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