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ASAP_nosemantic_FineTuningBERT_AugV12_k7_task1_organization_k7_k7_fold1
genki10/ASAP_nosemantic_FineTuningBERT_AugV12_k7_task1_organization_k7_k7_fold1
ASAP_nosemantic_FineTuningBERT_AugV12_k7_task1_organization_k7_k7_fold1 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 7, 2025
- Updated
- Mar 7, 2025
- SHA
- 199e41f1
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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_nosemantic_FineTuningBERT_AugV12_k7_task1_organization_k7_k7_fold1
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: 1.1440
- Qwk: 0.2242
- Mse: 1.1428
- Rmse: 1.0690
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 | 4 | 9.8840 | 0.0 | 9.8812 | 3.1434 |
| No log | 2.0 | 8 | 7.8805 | 0.0 | 7.8781 | 2.8068 |
| No log | 3.0 | 12 | 7.4805 | 0.0 | 7.4781 | 2.7346 |
| No log | 4.0 | 16 | 7.0168 | 0.0 | 7.0144 | 2.6485 |
| No log | 5.0 | 20 | 5.9442 | -0.0098 | 5.9420 | 2.4376 |
| No log | 6.0 | 24 | 3.9694 | 0.0 | 3.9674 | 1.9918 |
| No log | 7.0 | 28 | 2.6182 | -0.0252 | 2.6162 | 1.6175 |
| No log | 8.0 | 32 | 1.5293 | 0.0594 | 1.5276 | 1.2360 |
| No log | 9.0 | 36 | 1.4206 | 0.0477 | 1.4190 | 1.1912 |
| No log | 10.0 | 40 | 0.9008 | 0.1029 | 0.8996 | 0.9485 |
| No log | 11.0 | 44 | 1.3275 | 0.0390 | 1.3260 | 1.1515 |
| No log | 12.0 | 48 | 0.9865 | 0.0512 | 0.9853 | 0.9926 |
| No log | 13.0 | 52 | 1.3291 | 0.1237 | 1.3277 | 1.1523 |
| No log | 14.0 | 56 | 0.8507 | 0.2502 | 0.8497 | 0.9218 |
| No log | 15.0 | 60 | 1.7539 | 0.1132 | 1.7521 | 1.3237 |
| No log | 16.0 | 64 | 1.1452 | 0.1489 | 1.1437 | 1.0695 |
| No log | 17.0 | 68 | 1.0912 | 0.1847 | 1.0900 | 1.0440 |
| No log | 18.0 | 72 | 1.2590 | 0.1367 | 1.2578 | 1.1215 |
| No log | 19.0 | 76 | 1.7633 | 0.0961 | 1.7621 | 1.3274 |
| No log | 20.0 | 80 | 1.3037 | 0.1956 | 1.3027 | 1.1414 |
| No log | 21.0 | 84 | 1.4414 | 0.1580 | 1.4404 | 1.2002 |
| No log | 22.0 | 88 | 1.2918 | 0.2201 | 1.2911 | 1.1363 |
| No log | 23.0 | 92 | 2.0918 | 0.0907 | 2.0904 | 1.4458 |
| No log | 24.0 | 96 | 1.1059 | 0.2613 | 1.1051 | 1.0512 |
| No log | 25.0 | 100 | 1.0410 | 0.2541 | 1.0402 | 1.0199 |
| No log | 26.0 | 104 | 1.6046 | 0.1352 | 1.6032 | 1.2662 |
| No log | 27.0 | 108 | 1.2996 | 0.1726 | 1.2987 | 1.1396 |
| No log | 28.0 | 112 | 1.2533 | 0.1957 | 1.2525 | 1.1191 |
| No log | 29.0 | 116 | 1.2128 | 0.1985 | 1.2118 | 1.1008 |
| No log | 30.0 | 120 | 1.1504 | 0.1915 | 1.1493 | 1.0720 |
| No log | 31.0 | 124 | 1.2406 | 0.1927 | 1.2395 | 1.1133 |
| No log | 32.0 | 128 | 1.4033 | 0.1852 | 1.4021 | 1.1841 |
| No log | 33.0 | 132 | 1.4967 | 0.1839 | 1.4955 | 1.2229 |
| No log | 34.0 | 136 | 1.0255 | 0.2538 | 1.0246 | 1.0122 |
| No log | 35.0 | 140 | 1.2525 | 0.1861 | 1.2515 | 1.1187 |
| No log | 36.0 | 144 | 1.1946 | 0.2055 | 1.1936 | 1.0925 |
| No log | 37.0 | 148 | 1.2669 | 0.2069 | 1.2659 | 1.1251 |
| No log | 38.0 | 152 | 0.9429 | 0.3100 | 0.9422 | 0.9707 |
| No log | 39.0 | 156 | 1.0629 | 0.2480 | 1.0619 | 1.0305 |
| No log | 40.0 | 160 | 1.1568 | 0.2061 | 1.1558 | 1.0751 |
| No log | 41.0 | 164 | 1.0465 | 0.2579 | 1.0457 | 1.0226 |
| No log | 42.0 | 168 | 1.3779 | 0.1821 | 1.3768 | 1.1734 |
| No log | 43.0 | 172 | 1.0022 | 0.2705 | 1.0012 | 1.0006 |
| No log | 44.0 | 176 | 1.0701 | 0.2492 | 1.0690 | 1.0339 |
| No log | 45.0 | 180 | 1.2539 | 0.1937 | 1.2525 | 1.1192 |
| No log | 46.0 | 184 | 1.2133 | 0.2082 | 1.2119 | 1.1009 |
| No log | 47.0 | 188 | 1.2394 | 0.1982 | 1.2380 | 1.1126 |
| No log | 48.0 | 192 | 1.0054 | 0.2885 | 1.0043 | 1.0022 |
| No log | 49.0 | 196 | 1.2072 | 0.2123 | 1.2060 | 1.0982 |
| No log | 50.0 | 200 | 1.2361 | 0.2301 | 1.2350 | 1.1113 |
| No log | 51.0 | 204 | 1.3149 | 0.1822 | 1.3136 | 1.1461 |
| No log | 52.0 | 208 | 1.0278 | 0.2483 | 1.0268 | 1.0133 |
| No log | 53.0 | 212 | 1.0592 | 0.2418 | 1.0581 | 1.0287 |
| No log | 54.0 | 216 | 1.0700 | 0.2594 | 1.0690 | 1.0339 |
| No log | 55.0 | 220 | 1.1873 | 0.2255 | 1.1862 | 1.0891 |
| No log | 56.0 | 224 | 1.1315 | 0.2478 | 1.1304 | 1.0632 |
| No log | 57.0 | 228 | 1.1492 | 0.2287 | 1.1480 | 1.0715 |
| No log | 58.0 | 232 | 1.1440 | 0.2242 | 1.1428 | 1.0690 |
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 7, 2025
- Updated
- Mar 7, 2025