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Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_fold2
genki10/Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_fold2
Trial3BERT_AugV8_k7_task1_organization_sp020_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 9, 2025
- Updated
- Apr 9, 2025
- SHA
- 1af2d41f
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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_k7_task1_organization_sp020_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: 1.1143
- Qwk: 0.2587
- Mse: 1.1138
- Rmse: 1.0554
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 | 6 | 5.4607 | 0.0386 | 5.4609 | 2.3369 |
| No log | 2.0 | 12 | 2.9697 | 0.0 | 2.9701 | 1.7234 |
| No log | 3.0 | 18 | 1.8014 | 0.0 | 1.8017 | 1.3423 |
| No log | 4.0 | 24 | 1.4935 | 0.0 | 1.4938 | 1.2222 |
| No log | 5.0 | 30 | 2.1971 | 0.1582 | 2.1972 | 1.4823 |
| No log | 6.0 | 36 | 1.2841 | 0.1231 | 1.2841 | 1.1332 |
| No log | 7.0 | 42 | 0.9372 | 0.2516 | 0.9371 | 0.9680 |
| No log | 8.0 | 48 | 1.6397 | 0.1444 | 1.6390 | 1.2802 |
| No log | 9.0 | 54 | 3.2920 | 0.0404 | 3.2906 | 1.8140 |
| No log | 10.0 | 60 | 0.6567 | 0.4778 | 0.6567 | 0.8104 |
| No log | 11.0 | 66 | 3.1550 | 0.0819 | 3.1545 | 1.7761 |
| No log | 12.0 | 72 | 0.8663 | 0.2747 | 0.8664 | 0.9308 |
| No log | 13.0 | 78 | 1.7114 | 0.0824 | 1.7114 | 1.3082 |
| No log | 14.0 | 84 | 1.7350 | 0.0704 | 1.7350 | 1.3172 |
| No log | 15.0 | 90 | 1.3112 | 0.1922 | 1.3112 | 1.1451 |
| No log | 16.0 | 96 | 1.1041 | 0.2645 | 1.1036 | 1.0505 |
| No log | 17.0 | 102 | 1.4007 | 0.2634 | 1.4001 | 1.1833 |
| No log | 18.0 | 108 | 1.7012 | 0.2014 | 1.7010 | 1.3042 |
| No log | 19.0 | 114 | 1.4749 | 0.2133 | 1.4748 | 1.2144 |
| No log | 20.0 | 120 | 1.4353 | 0.2596 | 1.4351 | 1.1980 |
| No log | 21.0 | 126 | 1.0817 | 0.3140 | 1.0815 | 1.0399 |
| No log | 22.0 | 132 | 1.6738 | 0.1674 | 1.6736 | 1.2937 |
| No log | 23.0 | 138 | 1.5437 | 0.1548 | 1.5434 | 1.2423 |
| No log | 24.0 | 144 | 1.4590 | 0.1630 | 1.4583 | 1.2076 |
| No log | 25.0 | 150 | 1.1143 | 0.2587 | 1.1138 | 1.0554 |
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 9, 2025
- Updated
- Apr 9, 2025