metadata
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-legal-de-cased_German_legal_SQuAD_17
results: []
RoBERTa-legal-de-cased_German_legal_SQuAD_17
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7026
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: 2e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 17
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 3 | 5.9725 |
No log | 2.0 | 6 | 5.4679 |
No log | 3.0 | 9 | 4.8936 |
No log | 4.0 | 12 | 4.6404 |
No log | 5.0 | 15 | 3.8267 |
No log | 6.0 | 18 | 3.5252 |
No log | 7.0 | 21 | 3.3880 |
No log | 8.0 | 24 | 3.2478 |
No log | 9.0 | 27 | 3.1329 |
No log | 10.0 | 30 | 3.1052 |
No log | 11.0 | 33 | 2.9603 |
No log | 12.0 | 36 | 2.8132 |
No log | 13.0 | 39 | 2.8544 |
No log | 14.0 | 42 | 2.9655 |
No log | 15.0 | 45 | 2.8565 |
No log | 16.0 | 48 | 2.7496 |
No log | 17.0 | 51 | 2.7026 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0