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Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold1
genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold1
Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold1 is a text classification model from genki10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- d13cf1f8
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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. -->
Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold1
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9350
- Qwk: 0.3191
- Mse: 0.9331
- Rmse: 0.9659
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 1.0 | 7 | 7.5968 | 0.0 | 7.5947 | 2.7559 |
| No log | 2.0 | 14 | 3.5562 | 0.0 | 3.5542 | 1.8853 |
| No log | 3.0 | 21 | 1.4517 | 0.0 | 1.4502 | 1.2042 |
| No log | 4.0 | 28 | 1.3282 | 0.0 | 1.3266 | 1.1518 |
| No log | 5.0 | 35 | 1.0985 | -0.0206 | 1.0969 | 1.0473 |
| No log | 6.0 | 42 | 0.9329 | 0.1189 | 0.9312 | 0.9650 |
| No log | 7.0 | 49 | 0.8148 | 0.2573 | 0.8134 | 0.9019 |
| No log | 8.0 | 56 | 0.7778 | 0.3104 | 0.7765 | 0.8812 |
| No log | 9.0 | 63 | 0.6834 | 0.3908 | 0.6820 | 0.8258 |
| No log | 10.0 | 70 | 1.2780 | 0.1187 | 1.2757 | 1.1295 |
| No log | 11.0 | 77 | 1.1661 | 0.2716 | 1.1639 | 1.0789 |
| No log | 12.0 | 84 | 1.3706 | 0.3055 | 1.3684 | 1.1698 |
| No log | 13.0 | 91 | 0.8304 | 0.3750 | 0.8290 | 0.9105 |
| No log | 14.0 | 98 | 0.8624 | 0.3320 | 0.8608 | 0.9278 |
| No log | 15.0 | 105 | 0.8878 | 0.3330 | 0.8860 | 0.9413 |
| No log | 16.0 | 112 | 0.9588 | 0.2956 | 0.9570 | 0.9783 |
| No log | 17.0 | 119 | 0.9730 | 0.3728 | 0.9710 | 0.9854 |
| No log | 18.0 | 126 | 1.2506 | 0.2364 | 1.2482 | 1.1172 |
| No log | 19.0 | 133 | 1.5395 | 0.1688 | 1.5366 | 1.2396 |
| No log | 20.0 | 140 | 1.2585 | 0.1972 | 1.2560 | 1.1207 |
| No log | 21.0 | 147 | 1.0751 | 0.2747 | 1.0728 | 1.0358 |
| No log | 22.0 | 154 | 1.1092 | 0.2529 | 1.1070 | 1.0521 |
| No log | 23.0 | 161 | 1.1371 | 0.3096 | 1.1348 | 1.0653 |
| No log | 24.0 | 168 | 0.9350 | 0.3191 | 0.9331 | 0.9659 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025