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--- |
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base_model: yhavinga/ul2-large-dutch |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ul2-large-dutch-finetuned-oba-book-search |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ul2-large-dutch-finetuned-oba-book-search |
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This model is a fine-tuned version of [yhavinga/ul2-large-dutch](https://huggingface.co/yhavinga/ul2-large-dutch) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5684 |
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- Top-5-accuracy: 0.1158 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.03 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Top-5-accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:| |
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| 7.7153 | 0.2577 | 200 | 5.3876 | 0.0 | |
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| 6.8602 | 0.5155 | 400 | 4.8652 | 0.0 | |
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| 6.3689 | 0.7732 | 600 | 4.6435 | 0.0 | |
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| 6.2303 | 1.0309 | 800 | 4.6293 | 0.0579 | |
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| 6.0898 | 1.2887 | 1000 | 4.6395 | 0.0289 | |
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| 6.0367 | 1.5464 | 1200 | 4.5855 | 0.0289 | |
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| 5.8512 | 1.8041 | 1400 | 4.5860 | 0.0579 | |
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| 5.9489 | 2.0619 | 1600 | 4.5672 | 0.0868 | |
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| 5.7601 | 2.3196 | 1800 | 4.5522 | 0.0579 | |
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| 5.7379 | 2.5773 | 2000 | 4.5572 | 0.0868 | |
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| 5.7397 | 2.8351 | 2200 | 4.5559 | 0.0579 | |
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| 5.7488 | 3.0928 | 2400 | 4.5769 | 0.1447 | |
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| 5.7581 | 3.3505 | 2600 | 4.5421 | 0.1158 | |
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| 5.6448 | 3.6082 | 2800 | 4.5174 | 0.1447 | |
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| 5.6551 | 3.8660 | 3000 | 4.5773 | 0.1158 | |
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| 5.6971 | 4.1237 | 3200 | 4.5495 | 0.0868 | |
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| 5.7085 | 4.3814 | 3400 | 4.5392 | 0.1447 | |
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| 5.6689 | 4.6392 | 3600 | 4.5707 | 0.1158 | |
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| 5.5422 | 4.8969 | 3800 | 4.5684 | 0.1158 | |
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### Framework versions |
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- PEFT 0.11.0 |
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- Transformers 4.44.2 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
