metadata
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: robbertfinetuned1506
results: []
robbertfinetuned1506
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: 0.4020
- Precision: 0.6588
- Recall: 0.5806
- F1: 0.6172
- Accuracy: 0.8828
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: 2e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 73 | 0.5045 | 0.5902 | 0.4871 | 0.5337 | 0.86 |
| No log | 2.0 | 146 | 0.4124 | 0.6161 | 0.5612 | 0.5873 | 0.8772 |
| No log | 3.0 | 219 | 0.3974 | 0.6502 | 0.5683 | 0.6065 | 0.8839 |
| No log | 4.0 | 292 | 0.4020 | 0.6588 | 0.5806 | 0.6172 | 0.8828 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3