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Trial3BERT_AugV8_k7_task1_organization_sp020_lw030_fold2
genki10/Trial3BERT_AugV8_k7_task1_organization_sp020_lw030_fold2
Trial3BERT_AugV8_k7_task1_organization_sp020_lw030_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 8, 2025
- Updated
- Apr 8, 2025
- SHA
- d8abfe25
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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_lw030_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: 1.1782
- Qwk: 0.2776
- Mse: 1.1784
- Rmse: 1.0855
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 | 5 | 8.4747 | 0.0 | 8.4748 | 2.9112 |
| No log | 2.0 | 10 | 3.9033 | 0.0078 | 3.9038 | 1.9758 |
| No log | 3.0 | 15 | 1.7180 | 0.0449 | 1.7185 | 1.3109 |
| No log | 4.0 | 20 | 0.9845 | 0.0107 | 0.9850 | 0.9924 |
| No log | 5.0 | 25 | 1.2336 | 0.1033 | 1.2338 | 1.1108 |
| No log | 6.0 | 30 | 0.9319 | 0.0404 | 0.9322 | 0.9655 |
| No log | 7.0 | 35 | 1.9786 | 0.2148 | 1.9788 | 1.4067 |
| No log | 8.0 | 40 | 0.5646 | 0.4645 | 0.5646 | 0.7514 |
| No log | 9.0 | 45 | 1.1337 | 0.2153 | 1.1339 | 1.0648 |
| No log | 10.0 | 50 | 0.5451 | 0.4935 | 0.5450 | 0.7382 |
| No log | 11.0 | 55 | 0.8030 | 0.4948 | 0.8029 | 0.8961 |
| No log | 12.0 | 60 | 0.5718 | 0.5304 | 0.5718 | 0.7561 |
| No log | 13.0 | 65 | 0.5766 | 0.5557 | 0.5765 | 0.7593 |
| No log | 14.0 | 70 | 0.9011 | 0.4890 | 0.9012 | 0.9493 |
| No log | 15.0 | 75 | 1.1154 | 0.3673 | 1.1156 | 1.0562 |
| No log | 16.0 | 80 | 1.0350 | 0.3649 | 1.0354 | 1.0175 |
| No log | 17.0 | 85 | 1.0528 | 0.3740 | 1.0532 | 1.0263 |
| No log | 18.0 | 90 | 1.1024 | 0.3500 | 1.1027 | 1.0501 |
| No log | 19.0 | 95 | 1.2520 | 0.3026 | 1.2523 | 1.1190 |
| No log | 20.0 | 100 | 1.4312 | 0.2679 | 1.4315 | 1.1965 |
| No log | 21.0 | 105 | 1.1807 | 0.3032 | 1.1808 | 1.0867 |
| No log | 22.0 | 110 | 1.0934 | 0.3115 | 1.0935 | 1.0457 |
| No log | 23.0 | 115 | 1.1360 | 0.3091 | 1.1362 | 1.0659 |
| No log | 24.0 | 120 | 1.4485 | 0.2498 | 1.4488 | 1.2037 |
| No log | 25.0 | 125 | 0.9691 | 0.3513 | 0.9693 | 0.9845 |
| No log | 26.0 | 130 | 1.3115 | 0.2860 | 1.3117 | 1.1453 |
| No log | 27.0 | 135 | 1.2523 | 0.2806 | 1.2524 | 1.1191 |
| No log | 28.0 | 140 | 1.1782 | 0.2776 | 1.1784 | 1.0855 |
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