metadata
library_name: transformers
license: apache-2.0
base_model: yhavinga/ul2-small-dutch
tags:
- generated_from_trainer
model-index:
- name: ul2-small-dutch-finetuned-oba-book-search-1
results: []
ul2-small-dutch-finetuned-oba-book-search-1
This model is a fine-tuned version of yhavinga/ul2-small-dutch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2663
- Top-5-accuracy: 0.0597
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: 0.3
- 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: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Top-5-accuracy |
|---|---|---|---|---|
| 6.4124 | 0.0848 | 500 | 6.3536 | 0.0 |
| 6.7952 | 0.1696 | 1000 | 6.8349 | 0.0 |
| 6.7698 | 0.2544 | 1500 | 6.5339 | 0.0 |
| 6.8332 | 0.3392 | 2000 | 6.5288 | 0.0 |
| 6.7705 | 0.4239 | 2500 | 7.1165 | 0.0 |
| 6.997 | 0.5087 | 3000 | 6.8968 | 0.0 |
| 6.7059 | 0.5935 | 3500 | 6.8425 | 0.0 |
| 6.8888 | 0.6783 | 4000 | 6.3301 | 0.0 |
| 6.4895 | 0.7631 | 4500 | 6.7270 | 0.0 |
| 6.6173 | 0.8479 | 5000 | 6.1497 | 0.0796 |
| 6.2961 | 0.9327 | 5500 | 5.9938 | 0.0796 |
| 6.2324 | 1.0175 | 6000 | 5.8314 | 0.0 |
| 6.3068 | 1.1023 | 6500 | 6.1160 | 0.0 |
| 5.9052 | 1.1870 | 7000 | 5.8330 | 0.0 |
| 6.2636 | 1.2718 | 7500 | 5.7442 | 0.0 |
| 5.9638 | 1.3566 | 8000 | 5.9032 | 0.0 |
| 5.4903 | 1.4414 | 8500 | 5.2657 | 0.0 |
| 5.3572 | 1.5262 | 9000 | 5.3021 | 0.0 |
| 5.268 | 1.6110 | 9500 | 4.8651 | 0.0 |
| 5.1901 | 1.6958 | 10000 | 4.8621 | 0.0 |
| 4.9671 | 1.7806 | 10500 | 4.8482 | 0.0 |
| 4.8376 | 1.8654 | 11000 | 4.7743 | 0.0 |
| 4.7365 | 1.9501 | 11500 | 5.2166 | 0.0 |
| 4.529 | 2.0349 | 12000 | 4.4299 | 0.0796 |
| 4.3585 | 2.1197 | 12500 | 4.2365 | 0.0199 |
| 4.2613 | 2.2045 | 13000 | 4.0390 | 0.0 |
| 4.1379 | 2.2893 | 13500 | 3.8705 | 0.1791 |
| 3.9627 | 2.3741 | 14000 | 3.6937 | 0.1791 |
| 3.8334 | 2.4589 | 14500 | 3.6306 | 0.0 |
| 3.6814 | 2.5437 | 15000 | 3.5674 | 0.2388 |
| 3.6308 | 2.6285 | 15500 | 3.4017 | 0.1990 |
| 3.5401 | 2.7132 | 16000 | 3.3286 | 0.0597 |
| 3.5336 | 2.7980 | 16500 | 3.2694 | 0.0199 |
| 3.4879 | 2.8828 | 17000 | 3.2742 | 0.0398 |
| 3.4277 | 2.9676 | 17500 | 3.2663 | 0.0597 |
Framework versions
- Transformers 4.44.2
- Pytorch 1.13.0+cu116
- Datasets 3.0.0
- Tokenizers 0.19.1