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ASAP_FineTuningBERT_AugV8_k7_task1_organization_k7_fold3
genki10/ASAP_FineTuningBERT_AugV8_k7_task1_organization_k7_fold3
ASAP_FineTuningBERT_AugV8_k7_task1_organization_k7_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
- Feb 5, 2025
- Updated
- Feb 5, 2025
- SHA
- 4f61a8b6
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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. -->
ASAP_FineTuningBERT_AugV8_k7_task1_organization_k7_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: 0.9401
- Qwk: 0.4349
- Mse: 0.9405
- Rmse: 0.9698
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 1.0 | 6 | 6.4473 | 0.0013 | 6.4459 | 2.5389 |
| No log | 2.0 | 12 | 2.9316 | 0.0 | 2.9306 | 1.7119 |
| No log | 3.0 | 18 | 1.6729 | 0.0202 | 1.6722 | 1.2931 |
| No log | 4.0 | 24 | 1.4826 | 0.0302 | 1.4819 | 1.2173 |
| No log | 5.0 | 30 | 1.0210 | 0.0257 | 1.0205 | 1.0102 |
| No log | 6.0 | 36 | 0.7614 | 0.3613 | 0.7612 | 0.8725 |
| No log | 7.0 | 42 | 1.0831 | 0.2070 | 1.0831 | 1.0407 |
| No log | 8.0 | 48 | 0.7771 | 0.4473 | 0.7774 | 0.8817 |
| No log | 9.0 | 54 | 0.8992 | 0.3764 | 0.8998 | 0.9486 |
| No log | 10.0 | 60 | 0.9384 | 0.4197 | 0.9392 | 0.9691 |
| No log | 11.0 | 66 | 0.8380 | 0.4533 | 0.8387 | 0.9158 |
| No log | 12.0 | 72 | 0.7710 | 0.4648 | 0.7715 | 0.8784 |
| No log | 13.0 | 78 | 1.0001 | 0.3759 | 1.0005 | 1.0003 |
| No log | 14.0 | 84 | 0.9176 | 0.3775 | 0.9181 | 0.9582 |
| No log | 15.0 | 90 | 0.9640 | 0.3600 | 0.9643 | 0.9820 |
| No log | 16.0 | 96 | 0.9222 | 0.3729 | 0.9226 | 0.9605 |
| No log | 17.0 | 102 | 0.9674 | 0.3927 | 0.9677 | 0.9837 |
| No log | 18.0 | 108 | 0.9130 | 0.3984 | 0.9134 | 0.9557 |
| No log | 19.0 | 114 | 0.9812 | 0.4102 | 0.9817 | 0.9908 |
| No log | 20.0 | 120 | 0.8342 | 0.4375 | 0.8349 | 0.9137 |
| No log | 21.0 | 126 | 0.8097 | 0.4223 | 0.8104 | 0.9002 |
| No log | 22.0 | 132 | 0.9401 | 0.4349 | 0.9405 | 0.9698 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 5, 2025
- Updated
- Feb 5, 2025