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BERT_AugV8_k3_task1_organization_sp060_lw040_fold1
genki10/BERT_AugV8_k3_task1_organization_sp060_lw040_fold1
BERT_AugV8_k3_task1_organization_sp060_lw040_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 27, 2025
- Updated
- Apr 3, 2025
- SHA
- 58dd6904
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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. -->
BERT_AugV8_k3_task1_organization_sp060_lw040_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: 1.3825
- Qwk: 0.2507
- Mse: 1.3806
- Rmse: 1.1750
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 | 3 | 10.0910 | 0.0 | 10.0886 | 3.1763 |
| No log | 2.0 | 6 | 8.1773 | 0.0 | 8.1752 | 2.8592 |
| No log | 3.0 | 9 | 5.7495 | 0.0306 | 5.7474 | 2.3974 |
| No log | 4.0 | 12 | 4.2282 | 0.0 | 4.2262 | 2.0558 |
| No log | 5.0 | 15 | 3.0768 | 0.0 | 3.0749 | 1.7535 |
| No log | 6.0 | 18 | 2.1150 | 0.1068 | 2.1133 | 1.4537 |
| No log | 7.0 | 21 | 1.5831 | 0.0106 | 1.5815 | 1.2576 |
| No log | 8.0 | 24 | 1.3289 | 0.0 | 1.3274 | 1.1521 |
| No log | 9.0 | 27 | 1.2794 | 0.0315 | 1.2778 | 1.1304 |
| No log | 10.0 | 30 | 1.2806 | 0.0797 | 1.2790 | 1.1309 |
| No log | 11.0 | 33 | 1.0554 | 0.0850 | 1.0537 | 1.0265 |
| No log | 12.0 | 36 | 1.1676 | 0.1721 | 1.1657 | 1.0797 |
| No log | 13.0 | 39 | 0.8333 | 0.3059 | 0.8318 | 0.9120 |
| No log | 14.0 | 42 | 0.8409 | 0.3018 | 0.8395 | 0.9162 |
| No log | 15.0 | 45 | 0.7930 | 0.3794 | 0.7917 | 0.8897 |
| No log | 16.0 | 48 | 0.8716 | 0.3044 | 0.8703 | 0.9329 |
| No log | 17.0 | 51 | 0.8745 | 0.3257 | 0.8731 | 0.9344 |
| No log | 18.0 | 54 | 0.9797 | 0.3118 | 0.9780 | 0.9889 |
| No log | 19.0 | 57 | 0.9632 | 0.3308 | 0.9615 | 0.9806 |
| No log | 20.0 | 60 | 1.1184 | 0.2996 | 1.1166 | 1.0567 |
| No log | 21.0 | 63 | 1.4026 | 0.1873 | 1.4008 | 1.1836 |
| No log | 22.0 | 66 | 1.6034 | 0.1704 | 1.6016 | 1.2655 |
| No log | 23.0 | 69 | 1.3108 | 0.2206 | 1.3091 | 1.1441 |
| No log | 24.0 | 72 | 1.3828 | 0.2474 | 1.3810 | 1.1751 |
| No log | 25.0 | 75 | 1.1644 | 0.2871 | 1.1628 | 1.0783 |
| No log | 26.0 | 78 | 1.4675 | 0.2121 | 1.4656 | 1.2106 |
| No log | 27.0 | 81 | 1.2480 | 0.2499 | 1.2463 | 1.1164 |
| No log | 28.0 | 84 | 1.3022 | 0.2674 | 1.3004 | 1.1403 |
| No log | 29.0 | 87 | 1.1424 | 0.3412 | 1.1407 | 1.0680 |
| No log | 30.0 | 90 | 1.3825 | 0.2507 | 1.3806 | 1.1750 |
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 27, 2025
- Updated
- Apr 3, 2025