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BERT_AugV8_k3_task1_organization_sp060_lw040_fold3
genki10/BERT_AugV8_k3_task1_organization_sp060_lw040_fold3
BERT_AugV8_k3_task1_organization_sp060_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
- Mar 27, 2025
- Updated
- Apr 3, 2025
- SHA
- 9abd596f
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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_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: 1.0901
- Qwk: 0.3089
- Mse: 1.0909
- Rmse: 1.0445
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 | 10.7007 | 0.0 | 10.6984 | 3.2708 |
| No log | 2.0 | 6 | 8.9317 | 0.0 | 8.9296 | 2.9882 |
| No log | 3.0 | 9 | 6.1946 | 0.0332 | 6.1932 | 2.4886 |
| No log | 4.0 | 12 | 4.7058 | 0.0076 | 4.7046 | 2.1690 |
| No log | 5.0 | 15 | 3.4209 | 0.0 | 3.4198 | 1.8493 |
| No log | 6.0 | 18 | 2.5676 | 0.0798 | 2.5668 | 1.6021 |
| No log | 7.0 | 21 | 1.7459 | 0.0302 | 1.7452 | 1.3210 |
| No log | 8.0 | 24 | 1.4747 | 0.0202 | 1.4740 | 1.2141 |
| No log | 9.0 | 27 | 1.3633 | 0.0452 | 1.3627 | 1.1674 |
| No log | 10.0 | 30 | 1.8235 | 0.1133 | 1.8228 | 1.3501 |
| No log | 11.0 | 33 | 1.6235 | 0.1256 | 1.6230 | 1.2740 |
| No log | 12.0 | 36 | 1.0413 | 0.1222 | 1.0412 | 1.0204 |
| No log | 13.0 | 39 | 1.6137 | 0.1265 | 1.6138 | 1.2703 |
| No log | 14.0 | 42 | 0.7361 | 0.3671 | 0.7363 | 0.8581 |
| No log | 15.0 | 45 | 1.1045 | 0.2920 | 1.1048 | 1.0511 |
| No log | 16.0 | 48 | 1.0140 | 0.3365 | 1.0145 | 1.0072 |
| No log | 17.0 | 51 | 0.9760 | 0.3060 | 0.9765 | 0.9882 |
| No log | 18.0 | 54 | 1.0951 | 0.2602 | 1.0953 | 1.0466 |
| No log | 19.0 | 57 | 0.9711 | 0.3242 | 0.9714 | 0.9856 |
| No log | 20.0 | 60 | 1.6870 | 0.1704 | 1.6870 | 1.2988 |
| No log | 21.0 | 63 | 1.0036 | 0.3448 | 1.0043 | 1.0022 |
| No log | 22.0 | 66 | 1.7831 | 0.1413 | 1.7833 | 1.3354 |
| No log | 23.0 | 69 | 1.1104 | 0.2881 | 1.1112 | 1.0541 |
| No log | 24.0 | 72 | 1.7883 | 0.1321 | 1.7886 | 1.3374 |
| No log | 25.0 | 75 | 1.2245 | 0.2445 | 1.2252 | 1.1069 |
| No log | 26.0 | 78 | 1.4852 | 0.1988 | 1.4856 | 1.2188 |
| No log | 27.0 | 81 | 1.3749 | 0.1989 | 1.3754 | 1.1728 |
| No log | 28.0 | 84 | 1.3887 | 0.1961 | 1.3893 | 1.1787 |
| No log | 29.0 | 87 | 1.0901 | 0.3089 | 1.0909 | 1.0445 |
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