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BERT_AugV8_k3_task1_organization_sp040_lw030_fold3
genki10/BERT_AugV8_k3_task1_organization_sp040_lw030_fold3
BERT_AugV8_k3_task1_organization_sp040_lw030_fold3 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 27, 2025
- SHA
- bf4d87ae
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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_k3_task1_organization_sp040_lw030_fold3
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: 1.2382
- Qwk: 0.2533
- Mse: 1.2395
- Rmse: 1.1133
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 | 3 | 11.2476 | 0.0200 | 11.2462 | 3.3535 |
| No log | 2.0 | 6 | 6.6599 | -0.0029 | 6.6586 | 2.5804 |
| No log | 3.0 | 9 | 4.4236 | 0.0175 | 4.4225 | 2.1030 |
| No log | 4.0 | 12 | 2.7751 | 0.0121 | 2.7742 | 1.6656 |
| No log | 5.0 | 15 | 1.8629 | 0.1310 | 1.8622 | 1.3646 |
| No log | 6.0 | 18 | 1.3365 | 0.0729 | 1.3362 | 1.1559 |
| No log | 7.0 | 21 | 1.3733 | 0.0741 | 1.3732 | 1.1718 |
| No log | 8.0 | 24 | 1.2094 | 0.0717 | 1.2093 | 1.0997 |
| No log | 9.0 | 27 | 0.9231 | 0.2364 | 0.9233 | 0.9609 |
| No log | 10.0 | 30 | 2.0483 | 0.1610 | 2.0481 | 1.4311 |
| No log | 11.0 | 33 | 0.8433 | 0.3717 | 0.8438 | 0.9186 |
| No log | 12.0 | 36 | 1.7464 | 0.2282 | 1.7471 | 1.3218 |
| No log | 13.0 | 39 | 0.6683 | 0.4496 | 0.6690 | 0.8179 |
| No log | 14.0 | 42 | 0.9149 | 0.3477 | 0.9159 | 0.9570 |
| No log | 15.0 | 45 | 2.4162 | 0.1222 | 2.4168 | 1.5546 |
| No log | 16.0 | 48 | 0.7063 | 0.4009 | 0.7071 | 0.8409 |
| No log | 17.0 | 51 | 0.7398 | 0.3767 | 0.7405 | 0.8605 |
| No log | 18.0 | 54 | 2.1124 | 0.1751 | 2.1132 | 1.4537 |
| No log | 19.0 | 57 | 1.0976 | 0.3331 | 1.0986 | 1.0481 |
| No log | 20.0 | 60 | 0.7363 | 0.3813 | 0.7372 | 0.8586 |
| No log | 21.0 | 63 | 1.3362 | 0.2797 | 1.3372 | 1.1564 |
| No log | 22.0 | 66 | 1.0397 | 0.3328 | 1.0409 | 1.0202 |
| No log | 23.0 | 69 | 1.3780 | 0.2893 | 1.3796 | 1.1746 |
| No log | 24.0 | 72 | 0.9085 | 0.4038 | 0.9102 | 0.9540 |
| No log | 25.0 | 75 | 1.9793 | 0.1826 | 1.9808 | 1.4074 |
| No log | 26.0 | 78 | 1.1761 | 0.2832 | 1.1776 | 1.0852 |
| No log | 27.0 | 81 | 1.4459 | 0.2162 | 1.4474 | 1.2031 |
| No log | 28.0 | 84 | 1.2382 | 0.2533 | 1.2395 | 1.1133 |
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 27, 2025