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Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold4
genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold4
Trial3BERT_AugV8_k10_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 9, 2025
- Updated
- Apr 13, 2025
- SHA
- a558bef6
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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_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: 0.7576
- Qwk: 0.4005
- Mse: 0.7576
- Rmse: 0.8704
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 | 6.2698 | 0.0018 | 6.2698 | 2.5040 |
| No log | 2.0 | 14 | 2.5943 | 0.0040 | 2.5943 | 1.6107 |
| No log | 3.0 | 21 | 1.3599 | 0.0212 | 1.3599 | 1.1662 |
| No log | 4.0 | 28 | 1.0559 | 0.0212 | 1.0559 | 1.0276 |
| No log | 5.0 | 35 | 0.8830 | 0.1892 | 0.8830 | 0.9397 |
| No log | 6.0 | 42 | 0.9160 | 0.1899 | 0.9160 | 0.9571 |
| No log | 7.0 | 49 | 0.6180 | 0.4627 | 0.6180 | 0.7862 |
| No log | 8.0 | 56 | 0.5745 | 0.4064 | 0.5745 | 0.7580 |
| No log | 9.0 | 63 | 0.5692 | 0.4999 | 0.5692 | 0.7544 |
| No log | 10.0 | 70 | 0.9300 | 0.3159 | 0.9300 | 0.9644 |
| No log | 11.0 | 77 | 1.4266 | 0.2740 | 1.4266 | 1.1944 |
| No log | 12.0 | 84 | 1.0867 | 0.3347 | 1.0867 | 1.0424 |
| No log | 13.0 | 91 | 1.2834 | 0.1882 | 1.2834 | 1.1329 |
| No log | 14.0 | 98 | 1.3325 | 0.2172 | 1.3325 | 1.1543 |
| No log | 15.0 | 105 | 1.1334 | 0.2806 | 1.1334 | 1.0646 |
| No log | 16.0 | 112 | 1.8612 | 0.1167 | 1.8612 | 1.3643 |
| No log | 17.0 | 119 | 0.6477 | 0.4546 | 0.6477 | 0.8048 |
| No log | 18.0 | 126 | 0.7829 | 0.3749 | 0.7829 | 0.8848 |
| No log | 19.0 | 133 | 0.7933 | 0.3760 | 0.7933 | 0.8907 |
| No log | 20.0 | 140 | 1.0378 | 0.2750 | 1.0378 | 1.0187 |
| No log | 21.0 | 147 | 0.8953 | 0.2976 | 0.8953 | 0.9462 |
| No log | 22.0 | 154 | 1.3716 | 0.2175 | 1.3716 | 1.1712 |
| No log | 23.0 | 161 | 1.4171 | 0.1920 | 1.4171 | 1.1904 |
| No log | 24.0 | 168 | 0.7576 | 0.4005 | 0.7576 | 0.8704 |
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 9, 2025
- Updated
- Apr 13, 2025