First full training run on complete dataset

README.md

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+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ul2-large-dutch-finetuned-oba-book-search
+
+This model is a fine-tuned version of [yhavinga/ul2-large-dutch](https://huggingface.co/yhavinga/ul2-large-dutch) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.4042
+- Top-5-accuracy: 0.0
+
+## 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: 0.001
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|
+| 8.2793        | 0.1729 | 200  | 5.9519          | 0.0            |
+| 8.1572        | 0.3457 | 400  | 5.9147          | 0.0            |
+| 8.1924        | 0.5186 | 600  | 5.8604          | 0.0            |
+| 8.021         | 0.6914 | 800  | 5.8270          | 0.0            |
+| 7.9558        | 0.8643 | 1000 | 5.7974          | 0.0            |
+| 7.9786        | 1.0372 | 1200 | 5.7586          | 0.0            |
+| 7.9113        | 1.2100 | 1400 | 5.7306          | 0.0            |
+| 8.0483        | 1.3829 | 1600 | 5.7506          | 0.0            |
+| 7.8481        | 1.5557 | 1800 | 5.7116          | 0.0            |
+| 7.9376        | 1.7286 | 2000 | 5.6599          | 0.0            |
+| 7.7537        | 1.9015 | 2200 | 5.6289          | 0.0            |
+| 7.7101        | 2.0743 | 2400 | 5.5863          | 0.0            |
+| 7.653         | 2.2472 | 2600 | 5.5719          | 0.0            |
+| 7.7515        | 2.4201 | 2800 | 5.5510          | 0.0            |
+| 7.6844        | 2.5929 | 3000 | 5.5245          | 0.0            |
+| 7.7322        | 2.7658 | 3200 | 5.5087          | 0.0            |
+| 7.7169        | 2.9386 | 3400 | 5.5065          | 0.0            |
+| 7.6177        | 3.1115 | 3600 | 5.4846          | 0.0            |
+| 7.6558        | 3.2844 | 3800 | 5.4712          | 0.0            |
+| 7.6453        | 3.4572 | 4000 | 5.4564          | 0.0            |
+| 7.5664        | 3.6301 | 4200 | 5.4431          | 0.0            |
+| 7.5475        | 3.8029 | 4400 | 5.4432          | 0.0            |
+| 7.5741        | 3.9758 | 4600 | 5.4393          | 0.0            |
+| 7.5523        | 4.1487 | 4800 | 5.4268          | 0.0            |
+| 7.6833        | 4.3215 | 5000 | 5.4243          | 0.0            |
+| 7.6817        | 4.4944 | 5200 | 5.4098          | 0.0            |
+| 7.544         | 4.6672 | 5400 | 5.4070          | 0.0            |
+| 7.6062        | 4.8401 | 5600 | 5.4033          | 0.0            |
+
+
+### Framework versions
+
+- PEFT 0.11.0
+- Transformers 4.44.2
+- Pytorch 1.13.0+cu116
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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