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Trial3BERT_AugV8_k5_task1_organization_sp010_lw030_fold3
genki10/Trial3BERT_AugV8_k5_task1_organization_sp010_lw030_fold3
Trial3BERT_AugV8_k5_task1_organization_sp010_lw030_fold3 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
- 7f0b4696
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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_k5_task1_organization_sp010_lw030_fold3
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: 0.9785
- Qwk: 0.4051
- Mse: 0.9785
- Rmse: 0.9892
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 | 4 | 9.5866 | 0.0 | 9.5847 | 3.0959 |
| No log | 2.0 | 8 | 8.3056 | 0.0 | 8.3040 | 2.8817 |
| No log | 3.0 | 12 | 6.5422 | 0.0 | 6.5409 | 2.5575 |
| No log | 4.0 | 16 | 4.7256 | 0.0038 | 4.7244 | 2.1736 |
| No log | 5.0 | 20 | 3.2512 | 0.0 | 3.2502 | 1.8028 |
| No log | 6.0 | 24 | 2.1278 | 0.0776 | 2.1270 | 1.4584 |
| No log | 7.0 | 28 | 1.3125 | 0.0102 | 1.3119 | 1.1454 |
| No log | 8.0 | 32 | 1.0621 | 0.0365 | 1.0616 | 1.0304 |
| No log | 9.0 | 36 | 1.2816 | 0.0463 | 1.2810 | 1.1318 |
| No log | 10.0 | 40 | 0.7611 | 0.3463 | 0.7608 | 0.8722 |
| No log | 11.0 | 44 | 0.8246 | 0.3290 | 0.8243 | 0.9079 |
| No log | 12.0 | 48 | 1.0907 | 0.1086 | 1.0903 | 1.0442 |
| No log | 13.0 | 52 | 0.8443 | 0.4181 | 0.8444 | 0.9189 |
| No log | 14.0 | 56 | 0.7532 | 0.4634 | 0.7534 | 0.8680 |
| No log | 15.0 | 60 | 0.6354 | 0.4951 | 0.6357 | 0.7973 |
| No log | 16.0 | 64 | 0.7368 | 0.4786 | 0.7372 | 0.8586 |
| No log | 17.0 | 68 | 0.6657 | 0.5427 | 0.6661 | 0.8162 |
| No log | 18.0 | 72 | 0.7389 | 0.4955 | 0.7392 | 0.8598 |
| No log | 19.0 | 76 | 1.5949 | 0.2718 | 1.5948 | 1.2629 |
| No log | 20.0 | 80 | 0.9272 | 0.4539 | 0.9275 | 0.9631 |
| No log | 21.0 | 84 | 1.7069 | 0.2506 | 1.7068 | 1.3065 |
| No log | 22.0 | 88 | 1.0601 | 0.3812 | 1.0604 | 1.0297 |
| No log | 23.0 | 92 | 1.0947 | 0.3699 | 1.0947 | 1.0463 |
| No log | 24.0 | 96 | 1.2483 | 0.3392 | 1.2483 | 1.1173 |
| No log | 25.0 | 100 | 1.1539 | 0.3476 | 1.1538 | 1.0742 |
| No log | 26.0 | 104 | 0.8077 | 0.4437 | 0.8078 | 0.8988 |
| No log | 27.0 | 108 | 0.9175 | 0.4015 | 0.9176 | 0.9579 |
| No log | 28.0 | 112 | 1.0500 | 0.3598 | 1.0500 | 1.0247 |
| No log | 29.0 | 116 | 1.0060 | 0.3850 | 1.0061 | 1.0031 |
| No log | 30.0 | 120 | 0.9074 | 0.4024 | 0.9074 | 0.9526 |
| No log | 31.0 | 124 | 1.0177 | 0.3816 | 1.0177 | 1.0088 |
| No log | 32.0 | 128 | 0.9785 | 0.4051 | 0.9785 | 0.9892 |
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