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Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold0
genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold0
Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold0 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
- 2bdf4221
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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_lw070_fold0
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: 1.2699
- Qwk: 0.1975
- Mse: 1.2699
- Rmse: 1.1269
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 | 8 | 5.7928 | 0.0177 | 5.7928 | 2.4068 |
| No log | 2.0 | 16 | 2.3964 | 0.1195 | 2.3964 | 1.5480 |
| No log | 3.0 | 24 | 1.2271 | 0.0316 | 1.2271 | 1.1078 |
| No log | 4.0 | 32 | 1.3181 | 0.0316 | 1.3181 | 1.1481 |
| No log | 5.0 | 40 | 1.5828 | 0.1104 | 1.5828 | 1.2581 |
| No log | 6.0 | 48 | 1.1383 | 0.1292 | 1.1383 | 1.0669 |
| No log | 7.0 | 56 | 0.7440 | 0.3333 | 0.7440 | 0.8625 |
| No log | 8.0 | 64 | 1.1696 | 0.2322 | 1.1696 | 1.0815 |
| No log | 9.0 | 72 | 1.0244 | 0.2488 | 1.0244 | 1.0121 |
| No log | 10.0 | 80 | 0.8602 | 0.3487 | 0.8602 | 0.9275 |
| No log | 11.0 | 88 | 1.4282 | 0.2070 | 1.4282 | 1.1951 |
| No log | 12.0 | 96 | 1.0007 | 0.3098 | 1.0007 | 1.0004 |
| No log | 13.0 | 104 | 1.2163 | 0.2345 | 1.2163 | 1.1029 |
| No log | 14.0 | 112 | 1.5425 | 0.1818 | 1.5425 | 1.2420 |
| No log | 15.0 | 120 | 1.3329 | 0.2200 | 1.3329 | 1.1545 |
| No log | 16.0 | 128 | 1.1138 | 0.2379 | 1.1138 | 1.0553 |
| No log | 17.0 | 136 | 0.8903 | 0.2907 | 0.8903 | 0.9436 |
| No log | 18.0 | 144 | 1.0120 | 0.2726 | 1.0120 | 1.0060 |
| No log | 19.0 | 152 | 1.3385 | 0.1592 | 1.3385 | 1.1569 |
| No log | 20.0 | 160 | 1.8788 | 0.1388 | 1.8788 | 1.3707 |
| No log | 21.0 | 168 | 1.7841 | 0.1580 | 1.7841 | 1.3357 |
| No log | 22.0 | 176 | 1.2192 | 0.1843 | 1.2192 | 1.1042 |
| No log | 23.0 | 184 | 1.4973 | 0.1781 | 1.4973 | 1.2237 |
| No log | 24.0 | 192 | 1.7264 | 0.1304 | 1.7264 | 1.3139 |
| No log | 25.0 | 200 | 1.2699 | 0.1975 | 1.2699 | 1.1269 |
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