metadata
tags:
- generated_from_trainer
model-index:
- name: BertjeWDialDataALL04
results: []
BertjeWDialDataALL04
This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0160
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4695 | 1.0 | 1542 | 2.0689 |
| 2.3622 | 2.0 | 3084 | 2.0509 |
| 2.3303 | 3.0 | 4626 | 2.0796 |
| 2.2865 | 4.0 | 6168 | 1.9921 |
| 2.2598 | 5.0 | 7710 | 1.9844 |
| 2.2544 | 6.0 | 9252 | 2.0077 |
| 2.2128 | 7.0 | 10794 | 1.9914 |
| 2.1963 | 8.0 | 12336 | 1.9882 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3