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yes_no_model_dutch
tuskbyte/yes_no_model_dutch
yes_no_model_dutch is a text classification model from tuskbyte. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Jun 28, 2024
- Updated
- Jun 28, 2024
- SHA
- dae3491c
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
yes_no_model_dutch
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2569 | 0.25 | 10 | 5.4260 |
| 3.3851 | 0.5 | 20 | 1.6825 |
| 1.4867 | 0.75 | 30 | 0.6516 |
| 0.6402 | 1.0 | 40 | 0.2228 |
| 0.2899 | 1.25 | 50 | 0.1722 |
| 0.1321 | 1.5 | 60 | 0.0340 |
| 0.0855 | 1.75 | 70 | 0.0436 |
| 0.1698 | 2.0 | 80 | 0.0061 |
| 0.1031 | 2.25 | 90 | 0.0008 |
| 0.0106 | 2.5 | 100 | 0.0002 |
| 0.0082 | 2.75 | 110 | 0.0001 |
| 0.0018 | 3.0 | 120 | 0.0005 |
| 0.0023 | 3.25 | 130 | 0.0000 |
| 0.0008 | 3.5 | 140 | 0.0000 |
| 0.0004 | 3.75 | 150 | 0.0000 |
| 0.0007 | 4.0 | 160 | 0.0000 |
| 0.0004 | 4.25 | 170 | 0.0000 |
| 0.0016 | 4.5 | 180 | 0.0000 |
| 0.0006 | 4.75 | 190 | 0.0000 |
| 0.0017 | 5.0 | 200 | 0.0000 |
| 0.0003 | 5.25 | 210 | 0.0000 |
| 0.0003 | 5.5 | 220 | 0.0000 |
| 0.0 | 5.75 | 230 | 0.0000 |
| 0.0 | 6.0 | 240 | 0.0000 |
| 0.0001 | 6.25 | 250 | 0.0000 |
| 0.0001 | 6.5 | 260 | 0.0000 |
| 0.0 | 6.75 | 270 | 0.0000 |
| 0.0 | 7.0 | 280 | 0.0000 |
| 0.0 | 7.25 | 290 | 0.0000 |
| 0.0 | 7.5 | 300 | 0.0000 |
| 0.0 | 7.75 | 310 | 0.0000 |
| 0.0 | 8.0 | 320 | 0.0000 |
| 0.0002 | 8.25 | 330 | 0.0000 |
| 0.0 | 8.5 | 340 | 0.0000 |
| 0.0 | 8.75 | 350 | 0.0000 |
| 0.0001 | 9.0 | 360 | 0.0000 |
| 0.0 | 9.25 | 370 | 0.0000 |
| 0.0 | 9.5 | 380 | 0.0000 |
| 0.0 | 9.75 | 390 | 0.0000 |
| 0.0 | 10.0 | 400 | 0.0000 |
Framework versions
- Transformers 4.42.2
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Jun 28, 2024
- Updated
- Jun 28, 2024