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Trial3BERT_AugV8_k5_task1_organization_sp010_lw040_fold3
genki10/Trial3BERT_AugV8_k5_task1_organization_sp010_lw040_fold3
Trial3BERT_AugV8_k5_task1_organization_sp010_lw040_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
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- d5d96fe5
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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. -->
Trial3BERT_AugV8_k5_task1_organization_sp010_lw040_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: 1.2552
- Qwk: 0.2427
- Mse: 1.2554
- Rmse: 1.1204
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 | 4 | 7.2761 | 0.0 | 7.2747 | 2.6972 |
| No log | 2.0 | 8 | 4.0993 | 0.0 | 4.0981 | 2.0244 |
| No log | 3.0 | 12 | 2.5186 | 0.0028 | 2.5176 | 1.5867 |
| No log | 4.0 | 16 | 1.5892 | 0.0202 | 1.5886 | 1.2604 |
| No log | 5.0 | 20 | 1.0956 | 0.0 | 1.0949 | 1.0464 |
| No log | 6.0 | 24 | 1.1302 | 0.0202 | 1.1296 | 1.0628 |
| No log | 7.0 | 28 | 0.9408 | 0.0274 | 0.9404 | 0.9697 |
| No log | 8.0 | 32 | 1.2969 | 0.1870 | 1.2964 | 1.1386 |
| No log | 9.0 | 36 | 0.8213 | 0.3464 | 0.8211 | 0.9062 |
| No log | 10.0 | 40 | 1.4436 | 0.1608 | 1.4433 | 1.2014 |
| No log | 11.0 | 44 | 0.9380 | 0.2941 | 0.9381 | 0.9686 |
| No log | 12.0 | 48 | 1.4127 | 0.1949 | 1.4127 | 1.1885 |
| No log | 13.0 | 52 | 1.2294 | 0.2309 | 1.2295 | 1.1088 |
| No log | 14.0 | 56 | 1.4178 | 0.1731 | 1.4179 | 1.1908 |
| No log | 15.0 | 60 | 1.0729 | 0.3037 | 1.0734 | 1.0361 |
| No log | 16.0 | 64 | 0.9426 | 0.3810 | 0.9432 | 0.9712 |
| No log | 17.0 | 68 | 1.8798 | 0.1836 | 1.8800 | 1.3711 |
| No log | 18.0 | 72 | 0.9584 | 0.3961 | 0.9593 | 0.9795 |
| No log | 19.0 | 76 | 1.5173 | 0.1851 | 1.5179 | 1.2320 |
| No log | 20.0 | 80 | 1.0119 | 0.3456 | 1.0127 | 1.0063 |
| No log | 21.0 | 84 | 1.3240 | 0.2275 | 1.3247 | 1.1509 |
| No log | 22.0 | 88 | 0.9420 | 0.3762 | 0.9428 | 0.9710 |
| No log | 23.0 | 92 | 1.5561 | 0.2043 | 1.5563 | 1.2475 |
| No log | 24.0 | 96 | 1.0717 | 0.3149 | 1.0723 | 1.0355 |
| No log | 25.0 | 100 | 1.5286 | 0.1419 | 1.5289 | 1.2365 |
| No log | 26.0 | 104 | 1.2347 | 0.2208 | 1.2352 | 1.1114 |
| No log | 27.0 | 108 | 1.1737 | 0.2496 | 1.1742 | 1.0836 |
| No log | 28.0 | 112 | 1.6739 | 0.1514 | 1.6740 | 1.2938 |
| No log | 29.0 | 116 | 1.3987 | 0.1961 | 1.3989 | 1.1827 |
| No log | 30.0 | 120 | 1.2555 | 0.2195 | 1.2559 | 1.1207 |
| No log | 31.0 | 124 | 1.4175 | 0.1746 | 1.4177 | 1.1907 |
| No log | 32.0 | 128 | 1.6381 | 0.1613 | 1.6380 | 1.2799 |
| No log | 33.0 | 132 | 1.2552 | 0.2427 | 1.2554 | 1.1204 |
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
- Apr 8, 2025
- Updated
- Apr 8, 2025