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Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_fold1
genki10/Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_fold1
Trial3BERT_AugV8_k7_task1_organization_sp020_lw070_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
- Apr 9, 2025
- Updated
- Apr 9, 2025
- SHA
- 8c8f819f
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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_k7_task1_organization_sp020_lw070_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: 1.4669
- Qwk: 0.1938
- Mse: 1.4643
- Rmse: 1.2101
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 | 6 | 6.0046 | -0.0171 | 6.0019 | 2.4499 |
| No log | 2.0 | 12 | 2.5017 | -0.0134 | 2.4999 | 1.5811 |
| No log | 3.0 | 18 | 1.4993 | 0.0315 | 1.4977 | 1.2238 |
| No log | 4.0 | 24 | 1.1504 | 0.0106 | 1.1488 | 1.0718 |
| No log | 5.0 | 30 | 1.8878 | -0.0897 | 1.8858 | 1.3733 |
| No log | 6.0 | 36 | 1.2885 | 0.0247 | 1.2867 | 1.1343 |
| No log | 7.0 | 42 | 1.3641 | -0.0096 | 1.3623 | 1.1672 |
| No log | 8.0 | 48 | 1.1955 | 0.1819 | 1.1934 | 1.0924 |
| No log | 9.0 | 54 | 0.8825 | 0.2798 | 0.8808 | 0.9385 |
| No log | 10.0 | 60 | 0.8753 | 0.3327 | 0.8735 | 0.9346 |
| No log | 11.0 | 66 | 1.3356 | 0.2498 | 1.3329 | 1.1545 |
| No log | 12.0 | 72 | 1.5833 | 0.1860 | 1.5809 | 1.2573 |
| No log | 13.0 | 78 | 1.5538 | 0.1725 | 1.5514 | 1.2456 |
| No log | 14.0 | 84 | 2.0708 | 0.1552 | 2.0681 | 1.4381 |
| No log | 15.0 | 90 | 1.1250 | 0.2936 | 1.1229 | 1.0597 |
| No log | 16.0 | 96 | 1.1236 | 0.2861 | 1.1218 | 1.0592 |
| No log | 17.0 | 102 | 0.8142 | 0.4465 | 0.8128 | 0.9015 |
| No log | 18.0 | 108 | 2.0889 | 0.1380 | 2.0858 | 1.4442 |
| No log | 19.0 | 114 | 1.6129 | 0.1729 | 1.6100 | 1.2689 |
| No log | 20.0 | 120 | 1.8060 | 0.1614 | 1.8031 | 1.3428 |
| No log | 21.0 | 126 | 1.4786 | 0.1999 | 1.4760 | 1.2149 |
| No log | 22.0 | 132 | 1.8504 | 0.1396 | 1.8476 | 1.3593 |
| No log | 23.0 | 138 | 1.2510 | 0.2249 | 1.2488 | 1.1175 |
| No log | 24.0 | 144 | 1.4901 | 0.2049 | 1.4876 | 1.2197 |
| No log | 25.0 | 150 | 1.3879 | 0.2398 | 1.3856 | 1.1771 |
| No log | 26.0 | 156 | 1.5605 | 0.1982 | 1.5579 | 1.2481 |
| No log | 27.0 | 162 | 1.2989 | 0.2285 | 1.2967 | 1.1387 |
| No log | 28.0 | 168 | 1.7000 | 0.1791 | 1.6973 | 1.3028 |
| No log | 29.0 | 174 | 1.8784 | 0.1518 | 1.8756 | 1.3695 |
| No log | 30.0 | 180 | 1.3804 | 0.2434 | 1.3780 | 1.1739 |
| No log | 31.0 | 186 | 1.0632 | 0.2894 | 1.0612 | 1.0301 |
| No log | 32.0 | 192 | 1.4669 | 0.1938 | 1.4643 | 1.2101 |
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 9, 2025
- Updated
- Apr 9, 2025