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--- |
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base_model: gpt2 |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: yes_no_model_dutch |
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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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# yes_no_model_dutch |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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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: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.2569 | 0.25 | 10 | 5.4260 | |
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| 3.3851 | 0.5 | 20 | 1.6825 | |
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| 1.4867 | 0.75 | 30 | 0.6516 | |
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| 0.6402 | 1.0 | 40 | 0.2228 | |
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| 0.2899 | 1.25 | 50 | 0.1722 | |
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| 0.1321 | 1.5 | 60 | 0.0340 | |
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| 0.0855 | 1.75 | 70 | 0.0436 | |
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| 0.1698 | 2.0 | 80 | 0.0061 | |
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| 0.1031 | 2.25 | 90 | 0.0008 | |
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| 0.0106 | 2.5 | 100 | 0.0002 | |
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| 0.0082 | 2.75 | 110 | 0.0001 | |
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| 0.0018 | 3.0 | 120 | 0.0005 | |
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| 0.0023 | 3.25 | 130 | 0.0000 | |
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| 0.0008 | 3.5 | 140 | 0.0000 | |
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| 0.0004 | 3.75 | 150 | 0.0000 | |
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| 0.0007 | 4.0 | 160 | 0.0000 | |
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| 0.0004 | 4.25 | 170 | 0.0000 | |
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| 0.0016 | 4.5 | 180 | 0.0000 | |
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| 0.0006 | 4.75 | 190 | 0.0000 | |
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| 0.0017 | 5.0 | 200 | 0.0000 | |
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| 0.0003 | 5.25 | 210 | 0.0000 | |
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| 0.0003 | 5.5 | 220 | 0.0000 | |
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| 0.0 | 5.75 | 230 | 0.0000 | |
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| 0.0 | 6.0 | 240 | 0.0000 | |
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| 0.0001 | 6.25 | 250 | 0.0000 | |
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| 0.0001 | 6.5 | 260 | 0.0000 | |
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| 0.0 | 6.75 | 270 | 0.0000 | |
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| 0.0 | 7.0 | 280 | 0.0000 | |
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| 0.0 | 7.25 | 290 | 0.0000 | |
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| 0.0 | 7.5 | 300 | 0.0000 | |
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| 0.0 | 7.75 | 310 | 0.0000 | |
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| 0.0 | 8.0 | 320 | 0.0000 | |
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| 0.0002 | 8.25 | 330 | 0.0000 | |
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| 0.0 | 8.5 | 340 | 0.0000 | |
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| 0.0 | 8.75 | 350 | 0.0000 | |
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| 0.0001 | 9.0 | 360 | 0.0000 | |
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| 0.0 | 9.25 | 370 | 0.0000 | |
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| 0.0 | 9.5 | 380 | 0.0000 | |
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| 0.0 | 9.75 | 390 | 0.0000 | |
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| 0.0 | 10.0 | 400 | 0.0000 | |
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### Framework versions |
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- Transformers 4.42.2 |
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- Pytorch 2.3.1+cu121 |
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- Tokenizers 0.19.1 |
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