rubert-base-cased-finetuned-panx-de
This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the universal_dependencies dataset. It achieves the following results on the evaluation set:
- Loss: 1.3352
- F1: 0.6979
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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.3039 | 1.0 | 131 | 1.0720 | 0.5871 |
| 0.7911 | 2.0 | 262 | 0.9581 | 0.6335 |
| 0.5448 | 3.0 | 393 | 0.9162 | 0.6718 |
| 0.3709 | 4.0 | 524 | 0.9722 | 0.6819 |
| 0.2565 | 5.0 | 655 | 1.0484 | 0.6847 |
| 0.1923 | 6.0 | 786 | 1.1410 | 0.6924 |
| 0.145 | 7.0 | 917 | 1.1692 | 0.6995 |
| 0.1104 | 8.0 | 1048 | 1.2592 | 0.6981 |
| 0.086 | 9.0 | 1179 | 1.3307 | 0.6972 |
| 0.0715 | 10.0 | 1310 | 1.3352 | 0.6979 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
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