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This model is a fine-tuned version of GroNLP/gpt2-small-dutch on GroNLP/dutch-cola. It achieves the following results on the evaluation set:
- Loss: 0.5926
- Accuracy: 0.7008
Training Details
Training Hyperparameters
The following hyperparameters were used during training:
- learning rate: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: AdamW with lr=4e-05, weight_decay=0.01, betas=(o.9, 0.999) and epsilon=1e-08
- num_epochs=3
- fp16=True
- gradient_acc_step=1
Evaluation
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6750 | 1.0 | 1244 | 0.8253 | 0.5688 |
| 0.5174 | 2.0 | 2488 | 0.5926 | 0.7008 |
| 0.4073 | 3.0 | 3732 | 0.6904 | 0.7004 |
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