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Trial3BERT_AugV8_k5_task1_organization_sp010_lw030_fold4
genki10/Trial3BERT_AugV8_k5_task1_organization_sp010_lw030_fold4
Trial3BERT_AugV8_k5_task1_organization_sp010_lw030_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
- bc85adc6
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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_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: 1.5577
- Qwk: 0.2351
- Mse: 1.5577
- Rmse: 1.2481
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 | 7.3852 | 0.0 | 7.3852 | 2.7176 |
| No log | 2.0 | 8 | 4.1402 | 0.0079 | 4.1402 | 2.0347 |
| No log | 3.0 | 12 | 2.5253 | 0.0040 | 2.5253 | 1.5891 |
| No log | 4.0 | 16 | 1.4803 | 0.0316 | 1.4803 | 1.2167 |
| No log | 5.0 | 20 | 0.9652 | 0.0212 | 0.9652 | 0.9824 |
| No log | 6.0 | 24 | 1.0476 | 0.0316 | 1.0476 | 1.0235 |
| No log | 7.0 | 28 | 0.9608 | 0.0554 | 0.9608 | 0.9802 |
| No log | 8.0 | 32 | 0.8490 | 0.1886 | 0.8490 | 0.9214 |
| No log | 9.0 | 36 | 1.2746 | 0.2025 | 1.2746 | 1.1290 |
| No log | 10.0 | 40 | 1.1629 | 0.2369 | 1.1629 | 1.0784 |
| No log | 11.0 | 44 | 0.7782 | 0.4722 | 0.7782 | 0.8821 |
| No log | 12.0 | 48 | 1.4793 | 0.2135 | 1.4793 | 1.2162 |
| No log | 13.0 | 52 | 0.9826 | 0.3039 | 0.9826 | 0.9912 |
| No log | 14.0 | 56 | 1.0143 | 0.3466 | 1.0143 | 1.0071 |
| No log | 15.0 | 60 | 0.9371 | 0.4279 | 0.9371 | 0.9681 |
| No log | 16.0 | 64 | 1.1084 | 0.3682 | 1.1084 | 1.0528 |
| No log | 17.0 | 68 | 1.0891 | 0.3669 | 1.0891 | 1.0436 |
| No log | 18.0 | 72 | 1.2617 | 0.3111 | 1.2617 | 1.1233 |
| No log | 19.0 | 76 | 1.0885 | 0.3714 | 1.0885 | 1.0433 |
| No log | 20.0 | 80 | 1.6406 | 0.2540 | 1.6406 | 1.2809 |
| No log | 21.0 | 84 | 0.8136 | 0.4467 | 0.8136 | 0.9020 |
| No log | 22.0 | 88 | 1.2650 | 0.2837 | 1.2650 | 1.1247 |
| No log | 23.0 | 92 | 0.9819 | 0.3831 | 0.9819 | 0.9909 |
| No log | 24.0 | 96 | 1.2369 | 0.3244 | 1.2369 | 1.1121 |
| No log | 25.0 | 100 | 0.8588 | 0.4294 | 0.8588 | 0.9267 |
| No log | 26.0 | 104 | 1.5577 | 0.2351 | 1.5577 | 1.2481 |
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