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--- |
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license: mit |
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base_model: DTAI-KULeuven/robbert-2023-dutch-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: robbert-2023-dutch-large-ft-lcn |
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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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# robbert-2023-dutch-large-ft-lcn |
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This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-large](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0046 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4819 | 1.0 | 69 | 2.1984 | |
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| 2.1774 | 2.0 | 138 | 2.1685 | |
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| 2.0555 | 3.0 | 207 | 2.1070 | |
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| 1.9779 | 4.0 | 276 | 2.0563 | |
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| 1.9261 | 5.0 | 345 | 2.0365 | |
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| 1.8381 | 6.0 | 414 | 2.0416 | |
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| 1.8136 | 7.0 | 483 | 2.0397 | |
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| 1.7682 | 8.0 | 552 | 2.0639 | |
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| 1.7484 | 9.0 | 621 | 2.0264 | |
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| 1.6742 | 10.0 | 690 | 2.0665 | |
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| 1.6311 | 11.0 | 759 | 2.0448 | |
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| 1.5907 | 12.0 | 828 | 2.0722 | |
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| 1.5301 | 13.0 | 897 | 1.9631 | |
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| 1.5052 | 14.0 | 966 | 2.0467 | |
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| 1.4834 | 15.0 | 1035 | 1.9810 | |
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| 1.4219 | 16.0 | 1104 | 2.0255 | |
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| 1.4029 | 17.0 | 1173 | 2.0746 | |
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| 1.3628 | 18.0 | 1242 | 1.9811 | |
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| 1.3356 | 19.0 | 1311 | 2.0329 | |
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| 1.3028 | 20.0 | 1380 | 2.0039 | |
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| 1.2955 | 21.0 | 1449 | 1.9837 | |
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| 1.2231 | 22.0 | 1518 | 1.9871 | |
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| 1.2093 | 23.0 | 1587 | 2.0143 | |
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| 1.1945 | 24.0 | 1656 | 1.9659 | |
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| 1.1657 | 25.0 | 1725 | 2.0569 | |
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| 1.1369 | 26.0 | 1794 | 1.9878 | |
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| 1.0946 | 27.0 | 1863 | 2.0062 | |
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| 1.063 | 28.0 | 1932 | 2.0421 | |
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| 1.0521 | 29.0 | 2001 | 2.0320 | |
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| 1.0443 | 30.0 | 2070 | 2.0580 | |
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| 1.0325 | 31.0 | 2139 | 1.9606 | |
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| 0.9804 | 32.0 | 2208 | 2.1121 | |
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| 0.9674 | 33.0 | 2277 | 2.0156 | |
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| 0.9563 | 34.0 | 2346 | 2.0292 | |
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| 0.927 | 35.0 | 2415 | 2.0528 | |
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| 0.9236 | 36.0 | 2484 | 1.9851 | |
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| 0.9319 | 37.0 | 2553 | 2.0392 | |
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| 0.8921 | 38.0 | 2622 | 2.0334 | |
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| 0.8742 | 39.0 | 2691 | 2.0492 | |
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| 0.8955 | 40.0 | 2760 | 1.9491 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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