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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: legal-finnish-roberta-base |
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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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# legal-finnish-roberta-base |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6085 |
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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: 0.0001 |
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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: 4 |
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- total_train_batch_size: 512 |
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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: 200000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.9538 | 0.25 | 50000 | 0.7697 | |
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| 0.8979 | 1.13 | 100000 | 0.6754 | |
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| 0.8466 | 2.0 | 150000 | 0.6305 | |
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| 0.8041 | 2.25 | 200000 | 0.6085 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.9.0 |
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- Tokenizers 0.12.0 |
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