metadata
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0210_lrate5b8
results: []
robbert0210_lrate5b8
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: 0.3595
- Precisions: 0.8049
- Recall: 0.7503
- F-measure: 0.7661
- Accuracy: 0.8987
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 471 | 0.4152 | 0.8420 | 0.6873 | 0.6895 | 0.8762 |
| 0.6244 | 2.0 | 942 | 0.3595 | 0.8049 | 0.7503 | 0.7661 | 0.8987 |
| 0.3086 | 3.0 | 1413 | 0.3926 | 0.8113 | 0.7757 | 0.7838 | 0.9110 |
| 0.1676 | 4.0 | 1884 | 0.4826 | 0.7805 | 0.7526 | 0.7628 | 0.9025 |
| 0.1044 | 5.0 | 2355 | 0.5530 | 0.8001 | 0.7627 | 0.7769 | 0.9028 |
| 0.0571 | 6.0 | 2826 | 0.5910 | 0.7945 | 0.7661 | 0.7765 | 0.9103 |
| 0.0321 | 7.0 | 3297 | 0.6168 | 0.8251 | 0.7733 | 0.7899 | 0.9124 |
| 0.0234 | 8.0 | 3768 | 0.6218 | 0.8108 | 0.7748 | 0.7881 | 0.9116 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3