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Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold2
genki10/Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold2
Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold2 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 5, 2025
- Updated
- Apr 5, 2025
- SHA
- 991b4613
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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. -->
Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold2
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: 1.6392
- Qwk: 0.1907
- Mse: 1.6391
- Rmse: 1.2803
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 | 3 | 8.9079 | 0.0 | 8.9081 | 2.9846 |
| No log | 2.0 | 6 | 7.2996 | 0.0 | 7.3000 | 2.7019 |
| No log | 3.0 | 9 | 5.4435 | 0.0014 | 5.4439 | 2.3332 |
| No log | 4.0 | 12 | 3.5316 | 0.0078 | 3.5322 | 1.8794 |
| No log | 5.0 | 15 | 2.0917 | 0.1535 | 2.0923 | 1.4465 |
| No log | 6.0 | 18 | 1.3711 | 0.0551 | 1.3717 | 1.1712 |
| No log | 7.0 | 21 | 1.5943 | 0.0844 | 1.5950 | 1.2629 |
| No log | 8.0 | 24 | 1.0816 | 0.0847 | 1.0822 | 1.0403 |
| No log | 9.0 | 27 | 1.1804 | 0.0961 | 1.1812 | 1.0868 |
| No log | 10.0 | 30 | 0.9057 | 0.1680 | 0.9064 | 0.9520 |
| No log | 11.0 | 33 | 0.8332 | 0.3094 | 0.8338 | 0.9131 |
| No log | 12.0 | 36 | 0.8603 | 0.3411 | 0.8608 | 0.9278 |
| No log | 13.0 | 39 | 0.6280 | 0.4481 | 0.6283 | 0.7926 |
| No log | 14.0 | 42 | 1.3379 | 0.2412 | 1.3382 | 1.1568 |
| No log | 15.0 | 45 | 0.7003 | 0.4644 | 0.7005 | 0.8370 |
| No log | 16.0 | 48 | 0.8424 | 0.4258 | 0.8427 | 0.9180 |
| No log | 17.0 | 51 | 1.1413 | 0.2835 | 1.1415 | 1.0684 |
| No log | 18.0 | 54 | 0.9472 | 0.3413 | 0.9474 | 0.9734 |
| No log | 19.0 | 57 | 1.2461 | 0.2629 | 1.2461 | 1.1163 |
| No log | 20.0 | 60 | 1.0551 | 0.3278 | 1.0550 | 1.0271 |
| No log | 21.0 | 63 | 1.5674 | 0.1812 | 1.5674 | 1.2519 |
| No log | 22.0 | 66 | 1.2050 | 0.2635 | 1.2052 | 1.0978 |
| No log | 23.0 | 69 | 1.0797 | 0.3113 | 1.0802 | 1.0393 |
| No log | 24.0 | 72 | 1.3406 | 0.2458 | 1.3413 | 1.1581 |
| No log | 25.0 | 75 | 1.2035 | 0.2758 | 1.2041 | 1.0973 |
| No log | 26.0 | 78 | 1.5131 | 0.2002 | 1.5134 | 1.2302 |
| No log | 27.0 | 81 | 1.0830 | 0.3120 | 1.0830 | 1.0407 |
| No log | 28.0 | 84 | 1.4846 | 0.1918 | 1.4847 | 1.2185 |
| No log | 29.0 | 87 | 1.2254 | 0.2792 | 1.2253 | 1.1069 |
| No log | 30.0 | 90 | 1.6392 | 0.1907 | 1.6391 | 1.2803 |
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 5, 2025
- Updated
- Apr 5, 2025