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BERT_AugV8_k5_task1_organization_sp020_lw030_fold4
genki10/BERT_AugV8_k5_task1_organization_sp020_lw030_fold4
BERT_AugV8_k5_task1_organization_sp020_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
- Mar 25, 2025
- Updated
- Mar 25, 2025
- SHA
- 2f7b7f03
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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. -->
BERT_AugV8_k5_task1_organization_sp020_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: 1.3229
- Qwk: 0.2712
- Mse: 1.3229
- Rmse: 1.1502
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 | 9.9033 | 0.0018 | 9.9033 | 3.1470 |
| No log | 2.0 | 8 | 7.0628 | 0.0 | 7.0628 | 2.6576 |
| No log | 3.0 | 12 | 4.6164 | 0.0079 | 4.6164 | 2.1486 |
| No log | 4.0 | 16 | 2.8230 | 0.0040 | 2.8230 | 1.6802 |
| No log | 5.0 | 20 | 1.5675 | 0.0420 | 1.5675 | 1.2520 |
| No log | 6.0 | 24 | 1.1010 | 0.0316 | 1.1010 | 1.0493 |
| No log | 7.0 | 28 | 0.9325 | 0.0328 | 0.9325 | 0.9656 |
| No log | 8.0 | 32 | 1.2386 | 0.0930 | 1.2386 | 1.1129 |
| No log | 9.0 | 36 | 1.4302 | 0.1736 | 1.4302 | 1.1959 |
| No log | 10.0 | 40 | 0.8335 | 0.3317 | 0.8335 | 0.9130 |
| No log | 11.0 | 44 | 1.6476 | 0.2164 | 1.6476 | 1.2836 |
| No log | 12.0 | 48 | 0.7014 | 0.4907 | 0.7014 | 0.8375 |
| No log | 13.0 | 52 | 0.7457 | 0.4470 | 0.7457 | 0.8635 |
| No log | 14.0 | 56 | 0.7809 | 0.4394 | 0.7809 | 0.8837 |
| No log | 15.0 | 60 | 0.6404 | 0.5124 | 0.6404 | 0.8002 |
| No log | 16.0 | 64 | 1.2716 | 0.3152 | 1.2716 | 1.1277 |
| No log | 17.0 | 68 | 0.7546 | 0.4395 | 0.7546 | 0.8687 |
| No log | 18.0 | 72 | 0.7389 | 0.4074 | 0.7389 | 0.8596 |
| No log | 19.0 | 76 | 1.3235 | 0.2603 | 1.3235 | 1.1504 |
| No log | 20.0 | 80 | 0.8241 | 0.4106 | 0.8241 | 0.9078 |
| No log | 21.0 | 84 | 1.0518 | 0.3550 | 1.0518 | 1.0256 |
| No log | 22.0 | 88 | 0.9140 | 0.3717 | 0.9140 | 0.9560 |
| No log | 23.0 | 92 | 1.1441 | 0.3099 | 1.1441 | 1.0696 |
| No log | 24.0 | 96 | 1.2803 | 0.2792 | 1.2803 | 1.1315 |
| No log | 25.0 | 100 | 1.1492 | 0.3062 | 1.1492 | 1.0720 |
| No log | 26.0 | 104 | 0.8090 | 0.3561 | 0.8090 | 0.8994 |
| No log | 27.0 | 108 | 1.2730 | 0.2852 | 1.2730 | 1.1283 |
| No log | 28.0 | 112 | 1.2231 | 0.2857 | 1.2231 | 1.1059 |
| No log | 29.0 | 116 | 0.8588 | 0.3739 | 0.8588 | 0.9267 |
| No log | 30.0 | 120 | 1.3229 | 0.2712 | 1.3229 | 1.1502 |
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
- Mar 25, 2025
- Updated
- Mar 25, 2025