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Trial3BERT_AugV8_k7_task1_organization_sp020_lw030_fold4
genki10/Trial3BERT_AugV8_k7_task1_organization_sp020_lw030_fold4
Trial3BERT_AugV8_k7_task1_organization_sp020_lw030_fold4 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 9, 2025
- SHA
- 6a3b0272
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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_k7_task1_organization_sp020_lw030_fold4
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: 0.6824
- Qwk: 0.4811
- Mse: 0.6824
- Rmse: 0.8261
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 | 5 | 6.9104 | 0.0 | 6.9104 | 2.6288 |
| No log | 2.0 | 10 | 3.7064 | 0.0079 | 3.7064 | 1.9252 |
| No log | 3.0 | 15 | 1.7642 | 0.0066 | 1.7642 | 1.3282 |
| No log | 4.0 | 20 | 1.0199 | 0.0239 | 1.0199 | 1.0099 |
| No log | 5.0 | 25 | 1.1527 | 0.0421 | 1.1527 | 1.0736 |
| No log | 6.0 | 30 | 0.9140 | 0.2072 | 0.9140 | 0.9560 |
| No log | 7.0 | 35 | 0.7356 | 0.2067 | 0.7356 | 0.8577 |
| No log | 8.0 | 40 | 0.6469 | 0.4077 | 0.6469 | 0.8043 |
| No log | 9.0 | 45 | 0.7861 | 0.4008 | 0.7861 | 0.8866 |
| No log | 10.0 | 50 | 0.6919 | 0.4808 | 0.6919 | 0.8318 |
| No log | 11.0 | 55 | 0.5591 | 0.5758 | 0.5591 | 0.7477 |
| No log | 12.0 | 60 | 0.7594 | 0.4617 | 0.7594 | 0.8715 |
| No log | 13.0 | 65 | 1.0681 | 0.3693 | 1.0681 | 1.0335 |
| No log | 14.0 | 70 | 0.6915 | 0.4837 | 0.6915 | 0.8316 |
| No log | 15.0 | 75 | 0.6549 | 0.5046 | 0.6549 | 0.8093 |
| No log | 16.0 | 80 | 1.1271 | 0.3413 | 1.1271 | 1.0616 |
| No log | 17.0 | 85 | 1.2407 | 0.3219 | 1.2407 | 1.1139 |
| No log | 18.0 | 90 | 0.8168 | 0.4318 | 0.8168 | 0.9038 |
| No log | 19.0 | 95 | 0.6320 | 0.5154 | 0.6320 | 0.7950 |
| No log | 20.0 | 100 | 1.1873 | 0.2747 | 1.1873 | 1.0896 |
| No log | 21.0 | 105 | 0.6651 | 0.4791 | 0.6651 | 0.8155 |
| No log | 22.0 | 110 | 0.9365 | 0.3297 | 0.9365 | 0.9677 |
| No log | 23.0 | 115 | 0.9233 | 0.3662 | 0.9233 | 0.9609 |
| No log | 24.0 | 120 | 1.0358 | 0.3232 | 1.0358 | 1.0178 |
| No log | 25.0 | 125 | 1.3037 | 0.2989 | 1.3037 | 1.1418 |
| No log | 26.0 | 130 | 0.6824 | 0.4811 | 0.6824 | 0.8261 |
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 9, 2025