metadata
base_model: yhavinga/ul2-large-dutch
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ul2-large-dutch-finetuned-oba-book-search
results: []
ul2-large-dutch-finetuned-oba-book-search
This model is a fine-tuned version of yhavinga/ul2-large-dutch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5755
- Top-5-accuracy: 0.0579
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: 0.03
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Top-5-accuracy |
|---|---|---|---|---|
| 7.9158 | 0.1289 | 200 | 5.3305 | 0.0 |
| 7.0161 | 0.2579 | 400 | 4.8351 | 0.0 |
| 6.3673 | 0.3868 | 600 | 4.6915 | 0.0579 |
| 6.1376 | 0.5158 | 800 | 4.7811 | 0.0289 |
| 6.1629 | 0.6447 | 1000 | 4.7614 | 0.0 |
| 5.9541 | 0.7737 | 1200 | 4.6734 | 0.0289 |
| 5.8968 | 0.9026 | 1400 | 4.7609 | 0.0289 |
| 5.9555 | 1.0316 | 1600 | 4.5714 | 0.0289 |
| 5.8876 | 1.1605 | 1800 | 4.7200 | 0.0579 |
| 5.7377 | 1.2895 | 2000 | 4.6012 | 0.0289 |
| 5.7385 | 1.4184 | 2200 | 4.5199 | 0.0289 |
| 5.7584 | 1.5474 | 2400 | 4.5996 | 0.0579 |
| 5.7681 | 1.6763 | 2600 | 4.6556 | 0.0289 |
| 5.7317 | 1.8053 | 2800 | 4.6396 | 0.0289 |
| 5.6363 | 1.9342 | 3000 | 4.5867 | 0.0579 |
| 5.7462 | 2.0632 | 3200 | 4.5472 | 0.0289 |
| 5.6963 | 2.1921 | 3400 | 4.5598 | 0.0289 |
| 5.588 | 2.3211 | 3600 | 4.5316 | 0.0289 |
| 5.5463 | 2.4500 | 3800 | 4.5661 | 0.0289 |
| 5.5491 | 2.5790 | 4000 | 4.5478 | 0.0289 |
| 5.5445 | 2.7079 | 4200 | 4.5253 | 0.0289 |
| 5.5136 | 2.8369 | 4400 | 4.5313 | 0.0289 |
| 5.5705 | 2.9658 | 4600 | 4.5677 | 0.0289 |
| 5.4956 | 3.0948 | 4800 | 4.5268 | 0.0289 |
| 5.4799 | 3.2237 | 5000 | 4.5313 | 0.0289 |
| 5.4992 | 3.3527 | 5200 | 4.5403 | 0.0289 |
| 5.5742 | 3.4816 | 5400 | 4.5124 | 0.0289 |
| 5.4864 | 3.6106 | 5600 | 4.5527 | 0.0579 |
| 5.4896 | 3.7395 | 5800 | 4.5582 | 0.0289 |
| 5.5396 | 3.8685 | 6000 | 4.5680 | 0.0579 |
| 5.4413 | 3.9974 | 6200 | 4.5579 | 0.0579 |
| 5.4534 | 4.1264 | 6400 | 4.5684 | 0.0579 |
| 5.5199 | 4.2553 | 6600 | 4.5726 | 0.0579 |
| 5.5298 | 4.3843 | 6800 | 4.5883 | 0.0579 |
| 5.4346 | 4.5132 | 7000 | 4.5885 | 0.0289 |
| 5.5098 | 4.6422 | 7200 | 4.5895 | 0.0579 |
| 5.489 | 4.7711 | 7400 | 4.5682 | 0.0579 |
| 5.4055 | 4.9001 | 7600 | 4.5755 | 0.0579 |
Framework versions
- PEFT 0.11.0
- Transformers 4.44.2
- Pytorch 1.13.0+cu116
- Datasets 3.0.0
- Tokenizers 0.19.1