GQA_RoBERTa_German_legal_SQuAD_part_augmented_17
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2674
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 | 4 | 3.7900 |
No log | 2.0 | 8 | 3.1774 |
No log | 3.0 | 12 | 2.8018 |
No log | 4.0 | 16 | 2.5378 |
No log | 5.0 | 20 | 2.2274 |
No log | 6.0 | 24 | 2.0786 |
No log | 7.0 | 28 | 1.9560 |
No log | 8.0 | 32 | 1.7749 |
No log | 9.0 | 36 | 1.6928 |
No log | 10.0 | 40 | 1.5814 |
No log | 11.0 | 44 | 1.4800 |
No log | 12.0 | 48 | 1.4188 |
No log | 13.0 | 52 | 1.3761 |
No log | 14.0 | 56 | 1.3139 |
No log | 15.0 | 60 | 1.2892 |
No log | 16.0 | 64 | 1.2752 |
No log | 17.0 | 68 | 1.2674 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
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