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de-bert-base-german-cased-finetuned
This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2858
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3222 | 1.0 | 236 | 2.5917 |
| 2.7069 | 2.0 | 472 | 2.5008 |
| 2.5649 | 3.0 | 708 | 2.4164 |
| 2.4289 | 4.0 | 944 | 2.4542 |
| 2.3706 | 5.0 | 1180 | 2.3341 |
| 2.3106 | 6.0 | 1416 | 2.3479 |
| 2.2636 | 7.0 | 1652 | 2.2560 |
| 2.2039 | 8.0 | 1888 | 2.2804 |
| 2.1828 | 9.0 | 2124 | 2.2708 |
| 2.1414 | 10.0 | 2360 | 2.3298 |
| 2.1072 | 11.0 | 2596 | 2.2653 |
| 2.0809 | 12.0 | 2832 | 2.3277 |
| 2.0503 | 13.0 | 3068 | 2.2623 |
| 2.0231 | 14.0 | 3304 | 2.2312 |
| 2.039 | 15.0 | 3540 | 2.3196 |
| 1.9787 | 16.0 | 3776 | 2.2907 |
| 1.9726 | 17.0 | 4012 | 2.3083 |
| 1.9641 | 18.0 | 4248 | 2.3016 |
| 1.9501 | 19.0 | 4484 | 2.2497 |
| 1.948 | 20.0 | 4720 | 2.2211 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
