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robbert0510_lrate7.5b32
This model is a fine-tuned version of pdelobelle/robbert-v2-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5259
- Precisions: 0.8050
- Recall: 0.7984
- F-measure: 0.8013
- Accuracy: 0.9128
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: 7.5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.6483 | 1.0 | 118 | 0.3862 | 0.8737 | 0.6655 | 0.6815 | 0.8772 |
| 0.3233 | 2.0 | 236 | 0.3337 | 0.7936 | 0.7423 | 0.7497 | 0.8995 |
| 0.1934 | 3.0 | 354 | 0.3600 | 0.7488 | 0.7661 | 0.7482 | 0.8980 |
| 0.1207 | 4.0 | 472 | 0.3525 | 0.8202 | 0.7535 | 0.7731 | 0.9056 |
| 0.0775 | 5.0 | 590 | 0.4264 | 0.7906 | 0.7756 | 0.7811 | 0.8998 |
| 0.05 | 6.0 | 708 | 0.4335 | 0.8100 | 0.7965 | 0.7999 | 0.9087 |
| 0.0335 | 7.0 | 826 | 0.4759 | 0.8380 | 0.7810 | 0.7987 | 0.9107 |
| 0.0249 | 8.0 | 944 | 0.5115 | 0.8254 | 0.7788 | 0.7976 | 0.9100 |
| 0.014 | 9.0 | 1062 | 0.5206 | 0.8249 | 0.7883 | 0.7973 | 0.9107 |
| 0.0082 | 10.0 | 1180 | 0.5259 | 0.8050 | 0.7984 | 0.8013 | 0.9128 |
| 0.0061 | 11.0 | 1298 | 0.5238 | 0.8068 | 0.7953 | 0.8005 | 0.9118 |
| 0.0056 | 12.0 | 1416 | 0.5385 | 0.8059 | 0.7939 | 0.7995 | 0.9114 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
