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Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold3
genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold3
Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_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
- 2e63a581
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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_sp020_lw030_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: 1.1120
- Qwk: 0.2757
- Mse: 1.1130
- Rmse: 1.0550
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 | 9.1132 | 0.0 | 9.1116 | 3.0185 |
| No log | 2.0 | 8 | 6.7831 | 0.0 | 6.7816 | 2.6042 |
| No log | 3.0 | 12 | 3.9131 | 0.0076 | 3.9118 | 1.9778 |
| No log | 4.0 | 16 | 2.4534 | 0.0878 | 2.4528 | 1.5661 |
| No log | 5.0 | 20 | 1.5109 | 0.0452 | 1.5104 | 1.2290 |
| No log | 6.0 | 24 | 1.3010 | 0.0355 | 1.3006 | 1.1405 |
| No log | 7.0 | 28 | 1.0344 | 0.0329 | 1.0341 | 1.0169 |
| No log | 8.0 | 32 | 1.1723 | 0.0614 | 1.1722 | 1.0827 |
| No log | 9.0 | 36 | 0.7968 | 0.3817 | 0.7970 | 0.8927 |
| No log | 10.0 | 40 | 0.6703 | 0.3519 | 0.6706 | 0.8189 |
| No log | 11.0 | 44 | 0.7068 | 0.4520 | 0.7071 | 0.8409 |
| No log | 12.0 | 48 | 0.5892 | 0.4808 | 0.5894 | 0.7677 |
| No log | 13.0 | 52 | 0.8157 | 0.4311 | 0.8160 | 0.9033 |
| No log | 14.0 | 56 | 0.7525 | 0.4438 | 0.7528 | 0.8677 |
| No log | 15.0 | 60 | 0.7074 | 0.4670 | 0.7077 | 0.8413 |
| No log | 16.0 | 64 | 0.9308 | 0.3799 | 0.9313 | 0.9650 |
| No log | 17.0 | 68 | 0.6905 | 0.4879 | 0.6910 | 0.8313 |
| No log | 18.0 | 72 | 0.9916 | 0.3835 | 0.9923 | 0.9962 |
| No log | 19.0 | 76 | 0.8429 | 0.4672 | 0.8438 | 0.9186 |
| No log | 20.0 | 80 | 0.9858 | 0.4023 | 0.9868 | 0.9934 |
| No log | 21.0 | 84 | 1.3676 | 0.2661 | 1.3687 | 1.1699 |
| No log | 22.0 | 88 | 1.1232 | 0.2832 | 1.1245 | 1.0604 |
| No log | 23.0 | 92 | 1.3307 | 0.2399 | 1.3316 | 1.1540 |
| No log | 24.0 | 96 | 0.9690 | 0.3532 | 0.9697 | 0.9848 |
| No log | 25.0 | 100 | 1.3905 | 0.2545 | 1.3913 | 1.1796 |
| No log | 26.0 | 104 | 1.2120 | 0.3126 | 1.2130 | 1.1014 |
| No log | 27.0 | 108 | 1.1586 | 0.3363 | 1.1595 | 1.0768 |
| No log | 28.0 | 112 | 1.4628 | 0.2529 | 1.4638 | 1.2099 |
| No log | 29.0 | 116 | 1.2307 | 0.2435 | 1.2317 | 1.1098 |
| No log | 30.0 | 120 | 0.9377 | 0.3081 | 0.9386 | 0.9688 |
| No log | 31.0 | 124 | 1.4676 | 0.2113 | 1.4683 | 1.2117 |
| No log | 32.0 | 128 | 1.1120 | 0.2757 | 1.1130 | 1.0550 |
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