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BERT_AugV8_k10_task1_organization_sp040_lw010_fold3
genki10/BERT_AugV8_k10_task1_organization_sp040_lw010_fold3
BERT_AugV8_k10_task1_organization_sp040_lw010_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 27, 2025
- Updated
- Mar 27, 2025
- SHA
- 3c2b3199
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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_k10_task1_organization_sp040_lw010_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: 1.0227
- Qwk: 0.2500
- Mse: 1.0229
- Rmse: 1.0114
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 | 7 | 7.2237 | 0.0 | 7.2224 | 2.6874 |
| No log | 2.0 | 14 | 3.0455 | 0.0 | 3.0446 | 1.7449 |
| No log | 3.0 | 21 | 1.4005 | 0.0427 | 1.3999 | 1.1832 |
| No log | 4.0 | 28 | 1.9450 | 0.0718 | 1.9444 | 1.3944 |
| No log | 5.0 | 35 | 0.8673 | 0.3156 | 0.8671 | 0.9312 |
| No log | 6.0 | 42 | 0.7865 | 0.3896 | 0.7867 | 0.8870 |
| No log | 7.0 | 49 | 0.7867 | 0.2533 | 0.7873 | 0.8873 |
| No log | 8.0 | 56 | 0.6073 | 0.4160 | 0.6076 | 0.7795 |
| No log | 9.0 | 63 | 0.8726 | 0.2700 | 0.8727 | 0.9342 |
| No log | 10.0 | 70 | 0.7199 | 0.4027 | 0.7202 | 0.8487 |
| No log | 11.0 | 77 | 0.7151 | 0.4208 | 0.7153 | 0.8458 |
| No log | 12.0 | 84 | 0.7733 | 0.4215 | 0.7735 | 0.8795 |
| No log | 13.0 | 91 | 0.9925 | 0.3647 | 0.9928 | 0.9964 |
| No log | 14.0 | 98 | 1.2615 | 0.2601 | 1.2616 | 1.1232 |
| No log | 15.0 | 105 | 1.2168 | 0.2811 | 1.2169 | 1.1031 |
| No log | 16.0 | 112 | 0.8965 | 0.3313 | 0.8967 | 0.9470 |
| No log | 17.0 | 119 | 1.2236 | 0.2226 | 1.2236 | 1.1062 |
| No log | 18.0 | 126 | 0.9466 | 0.2834 | 0.9468 | 0.9730 |
| No log | 19.0 | 133 | 1.1228 | 0.2049 | 1.1227 | 1.0596 |
| No log | 20.0 | 140 | 1.0040 | 0.2783 | 1.0040 | 1.0020 |
| No log | 21.0 | 147 | 1.1101 | 0.3057 | 1.1102 | 1.0537 |
| No log | 22.0 | 154 | 1.0316 | 0.2796 | 1.0318 | 1.0158 |
| No log | 23.0 | 161 | 1.1781 | 0.3136 | 1.1784 | 1.0856 |
| No log | 24.0 | 168 | 0.9609 | 0.3388 | 0.9613 | 0.9804 |
| No log | 25.0 | 175 | 0.9068 | 0.2183 | 0.9070 | 0.9524 |
| No log | 26.0 | 182 | 1.1175 | 0.1978 | 1.1176 | 1.0572 |
| No log | 27.0 | 189 | 1.0227 | 0.2500 | 1.0229 | 1.0114 |
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 27, 2025
- Updated
- Mar 27, 2025