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Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold4
genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold4
Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_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 8, 2025
- SHA
- b0168ca1
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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_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: 1.1742
- Qwk: 0.2399
- Mse: 1.1742
- Rmse: 1.0836
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 | 6.1535 | 0.0018 | 6.1535 | 2.4806 |
| No log | 2.0 | 14 | 2.5927 | 0.0040 | 2.5927 | 1.6102 |
| No log | 3.0 | 21 | 1.2328 | 0.0212 | 1.2328 | 1.1103 |
| No log | 4.0 | 28 | 1.4623 | 0.0574 | 1.4623 | 1.2093 |
| No log | 5.0 | 35 | 1.0685 | 0.0344 | 1.0685 | 1.0337 |
| No log | 6.0 | 42 | 0.7397 | 0.4329 | 0.7397 | 0.8601 |
| No log | 7.0 | 49 | 0.6218 | 0.4833 | 0.6218 | 0.7885 |
| No log | 8.0 | 56 | 0.5409 | 0.5161 | 0.5409 | 0.7355 |
| No log | 9.0 | 63 | 0.5730 | 0.4689 | 0.5730 | 0.7570 |
| No log | 10.0 | 70 | 1.1030 | 0.2232 | 1.1030 | 1.0502 |
| No log | 11.0 | 77 | 1.1724 | 0.2489 | 1.1724 | 1.0828 |
| No log | 12.0 | 84 | 1.5734 | 0.2284 | 1.5734 | 1.2543 |
| No log | 13.0 | 91 | 1.9951 | 0.1980 | 1.9951 | 1.4125 |
| No log | 14.0 | 98 | 1.1752 | 0.3273 | 1.1752 | 1.0841 |
| No log | 15.0 | 105 | 0.9822 | 0.3514 | 0.9822 | 0.9911 |
| No log | 16.0 | 112 | 1.7732 | 0.1803 | 1.7732 | 1.3316 |
| No log | 17.0 | 119 | 1.6551 | 0.2034 | 1.6551 | 1.2865 |
| No log | 18.0 | 126 | 1.0277 | 0.2615 | 1.0277 | 1.0138 |
| No log | 19.0 | 133 | 1.0021 | 0.2853 | 1.0021 | 1.0010 |
| No log | 20.0 | 140 | 1.5011 | 0.2067 | 1.5011 | 1.2252 |
| No log | 21.0 | 147 | 1.9439 | 0.1701 | 1.9439 | 1.3942 |
| No log | 22.0 | 154 | 1.3508 | 0.1873 | 1.3508 | 1.1623 |
| No log | 23.0 | 161 | 1.1742 | 0.2399 | 1.1742 | 1.0836 |
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