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Trial2BERT_AugV8_k5_task1_organization_sp010_lw030_fold0
genki10/Trial2BERT_AugV8_k5_task1_organization_sp010_lw030_fold0
Trial2BERT_AugV8_k5_task1_organization_sp010_lw030_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 5, 2025
- Updated
- Apr 5, 2025
- SHA
- 8d718845
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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_k5_task1_organization_sp010_lw030_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: 0.9103
- Qwk: 0.3537
- Mse: 0.9103
- Rmse: 0.9541
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 | 10.2218 | 0.0 | 10.2218 | 3.1972 |
| No log | 2.0 | 8 | 9.1299 | 0.0 | 9.1299 | 3.0216 |
| No log | 3.0 | 12 | 5.9549 | 0.0661 | 5.9549 | 2.4403 |
| No log | 4.0 | 16 | 3.8858 | 0.0115 | 3.8858 | 1.9713 |
| No log | 5.0 | 20 | 1.9480 | 0.0838 | 1.9480 | 1.3957 |
| No log | 6.0 | 24 | 1.0833 | 0.0316 | 1.0833 | 1.0408 |
| No log | 7.0 | 28 | 0.7852 | 0.4570 | 0.7852 | 0.8861 |
| No log | 8.0 | 32 | 1.1605 | 0.0419 | 1.1605 | 1.0773 |
| No log | 9.0 | 36 | 0.6543 | 0.4843 | 0.6543 | 0.8089 |
| No log | 10.0 | 40 | 1.2846 | 0.1933 | 1.2846 | 1.1334 |
| No log | 11.0 | 44 | 0.9884 | 0.3269 | 0.9884 | 0.9942 |
| No log | 12.0 | 48 | 1.6391 | 0.1905 | 1.6391 | 1.2803 |
| No log | 13.0 | 52 | 1.1348 | 0.3158 | 1.1348 | 1.0653 |
| No log | 14.0 | 56 | 0.6117 | 0.4076 | 0.6117 | 0.7821 |
| No log | 15.0 | 60 | 1.0678 | 0.3672 | 1.0678 | 1.0334 |
| No log | 16.0 | 64 | 0.8378 | 0.4060 | 0.8378 | 0.9153 |
| No log | 17.0 | 68 | 0.9362 | 0.4094 | 0.9362 | 0.9676 |
| No log | 18.0 | 72 | 1.0519 | 0.3675 | 1.0519 | 1.0256 |
| No log | 19.0 | 76 | 0.9853 | 0.3607 | 0.9853 | 0.9926 |
| No log | 20.0 | 80 | 1.5617 | 0.2091 | 1.5617 | 1.2497 |
| No log | 21.0 | 84 | 0.7426 | 0.4747 | 0.7426 | 0.8617 |
| No log | 22.0 | 88 | 1.4636 | 0.2494 | 1.4636 | 1.2098 |
| No log | 23.0 | 92 | 0.7763 | 0.4471 | 0.7763 | 0.8811 |
| No log | 24.0 | 96 | 0.9103 | 0.3537 | 0.9103 | 0.9541 |
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