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ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold2
genki10/ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold2
ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_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
- Feb 9, 2025
- Updated
- Feb 9, 2025
- SHA
- ef2587ea
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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_AugV7_k15_task1_organization_k15_k15_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: 1.4797
- Qwk: 0.1751
- Mse: 1.4791
- Rmse: 1.2162
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 | 12 | 2.9135 | 0.0 | 2.9140 | 1.7070 |
| No log | 2.0 | 24 | 1.2866 | 0.0 | 1.2871 | 1.1345 |
| No log | 3.0 | 36 | 1.1025 | 0.0068 | 1.1028 | 1.0501 |
| No log | 4.0 | 48 | 1.0864 | 0.2061 | 1.0863 | 1.0423 |
| No log | 5.0 | 60 | 1.0996 | 0.1523 | 1.0989 | 1.0483 |
| No log | 6.0 | 72 | 0.6936 | 0.3668 | 0.6927 | 0.8323 |
| No log | 7.0 | 84 | 1.2868 | 0.0561 | 1.2865 | 1.1342 |
| No log | 8.0 | 96 | 1.8629 | 0.0757 | 1.8618 | 1.3645 |
| No log | 9.0 | 108 | 0.8677 | 0.3529 | 0.8666 | 0.9309 |
| No log | 10.0 | 120 | 0.8567 | 0.3986 | 0.8555 | 0.9249 |
| No log | 11.0 | 132 | 2.0102 | 0.0972 | 2.0087 | 1.4173 |
| No log | 12.0 | 144 | 1.2900 | 0.1173 | 1.2886 | 1.1352 |
| No log | 13.0 | 156 | 1.6894 | 0.0616 | 1.6884 | 1.2994 |
| No log | 14.0 | 168 | 0.9318 | 0.2352 | 0.9311 | 0.9649 |
| No log | 15.0 | 180 | 1.7208 | 0.1554 | 1.7194 | 1.3113 |
| No log | 16.0 | 192 | 0.8993 | 0.3991 | 0.8981 | 0.9477 |
| No log | 17.0 | 204 | 1.8269 | 0.0900 | 1.8259 | 1.3513 |
| No log | 18.0 | 216 | 1.4779 | 0.1809 | 1.4766 | 1.2152 |
| No log | 19.0 | 228 | 1.2660 | 0.2589 | 1.2646 | 1.1245 |
| No log | 20.0 | 240 | 0.9044 | 0.3144 | 0.9037 | 0.9506 |
| No log | 21.0 | 252 | 1.7841 | 0.0573 | 1.7832 | 1.3354 |
| No log | 22.0 | 264 | 1.0353 | 0.1206 | 1.0347 | 1.0172 |
| No log | 23.0 | 276 | 1.1257 | 0.1852 | 1.1249 | 1.0606 |
| No log | 24.0 | 288 | 1.2819 | 0.1979 | 1.2811 | 1.1319 |
| No log | 25.0 | 300 | 0.9048 | 0.2775 | 0.9043 | 0.9510 |
| No log | 26.0 | 312 | 1.4797 | 0.1751 | 1.4791 | 1.2162 |
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 9, 2025
- Updated
- Feb 9, 2025