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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- danish_legal_pile |
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model-index: |
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- name: danish-legal-xlm-base-mlm |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# danish-legal-xlm-base-mlm |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7384 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: tpu |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- training_steps: 100000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.8936 | 22.9 | 50000 | 0.7870 | |
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| 0.827 | 45.81 | 100000 | 0.7385 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.0.0 |
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- Tokenizers 0.12.0 |
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