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: 4.5684
- Top-5-accuracy: 0.1158
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 |
---|---|---|---|---|
7.7153 | 0.2577 | 200 | 5.3876 | 0.0 |
6.8602 | 0.5155 | 400 | 4.8652 | 0.0 |
6.3689 | 0.7732 | 600 | 4.6435 | 0.0 |
6.2303 | 1.0309 | 800 | 4.6293 | 0.0579 |
6.0898 | 1.2887 | 1000 | 4.6395 | 0.0289 |
6.0367 | 1.5464 | 1200 | 4.5855 | 0.0289 |
5.8512 | 1.8041 | 1400 | 4.5860 | 0.0579 |
5.9489 | 2.0619 | 1600 | 4.5672 | 0.0868 |
5.7601 | 2.3196 | 1800 | 4.5522 | 0.0579 |
5.7379 | 2.5773 | 2000 | 4.5572 | 0.0868 |
5.7397 | 2.8351 | 2200 | 4.5559 | 0.0579 |
5.7488 | 3.0928 | 2400 | 4.5769 | 0.1447 |
5.7581 | 3.3505 | 2600 | 4.5421 | 0.1158 |
5.6448 | 3.6082 | 2800 | 4.5174 | 0.1447 |
5.6551 | 3.8660 | 3000 | 4.5773 | 0.1158 |
5.6971 | 4.1237 | 3200 | 4.5495 | 0.0868 |
5.7085 | 4.3814 | 3400 | 4.5392 | 0.1447 |
5.6689 | 4.6392 | 3600 | 4.5707 | 0.1158 |
5.5422 | 4.8969 | 3800 | 4.5684 | 0.1158 |
Framework versions
- PEFT 0.11.0
- Transformers 4.44.2
- Pytorch 1.13.0+cu116
- Datasets 3.0.0
- Tokenizers 0.19.1