metadata
license: mit
base_model: pdelobelle/robbert-v2-dutch-base
tags:
- generated_from_trainer
metrics:
- recall
- accuracy
model-index:
- name: robbert0410_lrate7.5b16
results: []
robbert0410_lrate7.5b16
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: 0.3288
- Precisions: 0.8075
- Recall: 0.7510
- F-measure: 0.7624
- Accuracy: 0.8998
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 236 | 0.3876 | 0.8471 | 0.6823 | 0.6916 | 0.8775 |
| No log | 2.0 | 472 | 0.3288 | 0.8075 | 0.7510 | 0.7624 | 0.8998 |
| 0.4702 | 3.0 | 708 | 0.3771 | 0.7893 | 0.7610 | 0.7689 | 0.9031 |
| 0.4702 | 4.0 | 944 | 0.4066 | 0.8057 | 0.7695 | 0.7808 | 0.9056 |
| 0.1484 | 5.0 | 1180 | 0.4444 | 0.7936 | 0.7783 | 0.7846 | 0.9093 |
| 0.1484 | 6.0 | 1416 | 0.4649 | 0.8234 | 0.8018 | 0.8092 | 0.9155 |
| 0.0534 | 7.0 | 1652 | 0.4812 | 0.8001 | 0.7877 | 0.7932 | 0.9135 |
| 0.0534 | 8.0 | 1888 | 0.4878 | 0.8097 | 0.7894 | 0.7978 | 0.9155 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0