| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: legal-polish-roberta-base |
| 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. --> |
|
|
| # legal-polish-roberta-base |
|
|
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5155 |
|
|
| ## 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: 4 |
| - total_train_batch_size: 512 |
| - 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: 200000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:------:|:---------------:| |
| | 0.8647 | 0.25 | 50000 | 0.6348 | |
| | 0.8373 | 0.5 | 100000 | 0.5584 | |
| | 0.7926 | 1.21 | 150000 | 0.5244 | |
| | 0.6757 | 1.46 | 200000 | 0.5155 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.20.1 |
| - Pytorch 1.12.0+cu102 |
| - Datasets 2.9.0 |
| - Tokenizers 0.12.0 |
| |
