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Version22NewTestASAP_FineTuningBERT_AugV22_k10_task1_organization_k10_k10_fold2
genki10/Version22NewTestASAP_FineTuningBERT_AugV22_k10_task1_organization_k10_k10_fold2
Version22NewTestASAP_FineTuningBERT_AugV22_k10_task1_organization_k10_k10_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
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- 6ce0bf6e
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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. -->
Version22NewTestASAP_FineTuningBERT_AugV22_k10_task1_organization_k10_k10_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: 1.4224
- Qwk: 0.2382
- Mse: 1.4212
- Rmse: 1.1921
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 | 5 | 6.6875 | -0.0008 | 6.6877 | 2.5861 |
| No log | 2.0 | 10 | 3.5189 | 0.0039 | 3.5192 | 1.8760 |
| No log | 3.0 | 15 | 1.9178 | 0.0542 | 1.9182 | 1.3850 |
| No log | 4.0 | 20 | 1.2219 | 0.0174 | 1.2224 | 1.1056 |
| No log | 5.0 | 25 | 1.5248 | 0.0213 | 1.5249 | 1.2349 |
| No log | 6.0 | 30 | 1.5937 | 0.0677 | 1.5938 | 1.2624 |
| No log | 7.0 | 35 | 1.5934 | 0.0764 | 1.5929 | 1.2621 |
| No log | 8.0 | 40 | 1.4387 | 0.1114 | 1.4377 | 1.1990 |
| No log | 9.0 | 45 | 1.7335 | 0.0660 | 1.7319 | 1.3160 |
| No log | 10.0 | 50 | 2.0242 | 0.0510 | 2.0218 | 1.4219 |
| No log | 11.0 | 55 | 1.5852 | 0.0722 | 1.5835 | 1.2584 |
| No log | 12.0 | 60 | 1.3505 | 0.1184 | 1.3486 | 1.1613 |
| No log | 13.0 | 65 | 1.4384 | 0.0747 | 1.4364 | 1.1985 |
| No log | 14.0 | 70 | 1.1101 | 0.1227 | 1.1090 | 1.0531 |
| No log | 15.0 | 75 | 1.1601 | 0.1435 | 1.1587 | 1.0765 |
| No log | 16.0 | 80 | 1.9053 | 0.0868 | 1.9031 | 1.3795 |
| No log | 17.0 | 85 | 1.9296 | 0.1117 | 1.9276 | 1.3884 |
| No log | 18.0 | 90 | 1.7461 | 0.0927 | 1.7439 | 1.3206 |
| No log | 19.0 | 95 | 1.1036 | 0.1736 | 1.1019 | 1.0497 |
| No log | 20.0 | 100 | 0.9899 | 0.2191 | 0.9888 | 0.9944 |
| No log | 21.0 | 105 | 1.5048 | 0.1652 | 1.5032 | 1.2260 |
| No log | 22.0 | 110 | 1.6385 | 0.1297 | 1.6366 | 1.2793 |
| No log | 23.0 | 115 | 1.2591 | 0.2393 | 1.2578 | 1.1215 |
| No log | 24.0 | 120 | 0.9034 | 0.2768 | 0.9024 | 0.9499 |
| No log | 25.0 | 125 | 1.2473 | 0.1681 | 1.2460 | 1.1162 |
| No log | 26.0 | 130 | 1.3032 | 0.1652 | 1.3018 | 1.1410 |
| No log | 27.0 | 135 | 1.2815 | 0.1767 | 1.2800 | 1.1314 |
| No log | 28.0 | 140 | 1.1326 | 0.2484 | 1.1312 | 1.0636 |
| No log | 29.0 | 145 | 1.3620 | 0.2238 | 1.3604 | 1.1663 |
| No log | 30.0 | 150 | 1.1197 | 0.2202 | 1.1184 | 1.0576 |
| No log | 31.0 | 155 | 1.2632 | 0.2318 | 1.2619 | 1.1233 |
| No log | 32.0 | 160 | 1.5972 | 0.1727 | 1.5958 | 1.2633 |
| No log | 33.0 | 165 | 1.5232 | 0.1822 | 1.5218 | 1.2336 |
| No log | 34.0 | 170 | 1.9555 | 0.0975 | 1.9537 | 1.3978 |
| No log | 35.0 | 175 | 1.0119 | 0.2765 | 1.0108 | 1.0054 |
| No log | 36.0 | 180 | 1.4719 | 0.2261 | 1.4704 | 1.2126 |
| No log | 37.0 | 185 | 1.1897 | 0.2216 | 1.1883 | 1.0901 |
| No log | 38.0 | 190 | 1.1678 | 0.2448 | 1.1665 | 1.0800 |
| No log | 39.0 | 195 | 1.8164 | 0.1652 | 1.8149 | 1.3472 |
| No log | 40.0 | 200 | 1.1222 | 0.2543 | 1.1210 | 1.0588 |
| No log | 41.0 | 205 | 1.3409 | 0.2270 | 1.3395 | 1.1574 |
| No log | 42.0 | 210 | 1.3360 | 0.2006 | 1.3347 | 1.1553 |
| No log | 43.0 | 215 | 1.2334 | 0.2498 | 1.2323 | 1.1101 |
| No log | 44.0 | 220 | 1.3395 | 0.2441 | 1.3383 | 1.1569 |
| No log | 45.0 | 225 | 1.2298 | 0.2272 | 1.2287 | 1.1085 |
| No log | 46.0 | 230 | 1.4207 | 0.2225 | 1.4195 | 1.1914 |
| No log | 47.0 | 235 | 1.3074 | 0.2164 | 1.3062 | 1.1429 |
| No log | 48.0 | 240 | 1.1543 | 0.2445 | 1.1534 | 1.0739 |
| No log | 49.0 | 245 | 1.8496 | 0.1223 | 1.8482 | 1.3595 |
| No log | 50.0 | 250 | 1.4382 | 0.2206 | 1.4370 | 1.1987 |
| No log | 51.0 | 255 | 1.6115 | 0.1771 | 1.6102 | 1.2689 |
| No log | 52.0 | 260 | 1.3411 | 0.2251 | 1.3401 | 1.1576 |
| No log | 53.0 | 265 | 1.3872 | 0.2058 | 1.3860 | 1.1773 |
| No log | 54.0 | 270 | 1.4224 | 0.2382 | 1.4212 | 1.1921 |
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 16, 2025
- Updated
- Mar 16, 2025