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BERT_AugV8_k10_task1_organization_sp060_lw010_fold3
genki10/BERT_AugV8_k10_task1_organization_sp060_lw010_fold3
BERT_AugV8_k10_task1_organization_sp060_lw010_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
- Mar 27, 2025
- SHA
- 039bd108
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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_k10_task1_organization_sp060_lw010_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: 1.5575
- Qwk: 0.0707
- Mse: 1.5576
- Rmse: 1.2480
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 | 7 | 6.3718 | 0.0065 | 6.3705 | 2.5240 |
| No log | 2.0 | 14 | 2.3337 | 0.1554 | 2.3329 | 1.5274 |
| No log | 3.0 | 21 | 1.5271 | 0.0365 | 1.5264 | 1.2355 |
| No log | 4.0 | 28 | 1.8330 | 0.0355 | 1.8325 | 1.3537 |
| No log | 5.0 | 35 | 0.9265 | 0.2004 | 0.9265 | 0.9626 |
| No log | 6.0 | 42 | 0.8915 | 0.1723 | 0.8916 | 0.9443 |
| No log | 7.0 | 49 | 1.0942 | 0.1367 | 1.0944 | 1.0461 |
| No log | 8.0 | 56 | 1.0450 | 0.2136 | 1.0455 | 1.0225 |
| No log | 9.0 | 63 | 1.3695 | 0.1104 | 1.3699 | 1.1704 |
| No log | 10.0 | 70 | 1.3806 | 0.1146 | 1.3811 | 1.1752 |
| No log | 11.0 | 77 | 1.1568 | 0.1689 | 1.1572 | 1.0757 |
| No log | 12.0 | 84 | 1.3796 | 0.1351 | 1.3801 | 1.1748 |
| No log | 13.0 | 91 | 1.4482 | 0.0941 | 1.4485 | 1.2035 |
| No log | 14.0 | 98 | 1.2342 | 0.1465 | 1.2347 | 1.1111 |
| No log | 15.0 | 105 | 1.3592 | 0.1019 | 1.3590 | 1.1658 |
| No log | 16.0 | 112 | 1.2016 | 0.1310 | 1.2021 | 1.0964 |
| No log | 17.0 | 119 | 1.4413 | 0.1157 | 1.4415 | 1.2006 |
| No log | 18.0 | 126 | 1.3624 | 0.1142 | 1.3621 | 1.1671 |
| No log | 19.0 | 133 | 1.3837 | 0.1228 | 1.3835 | 1.1762 |
| No log | 20.0 | 140 | 1.2868 | 0.0934 | 1.2872 | 1.1345 |
| No log | 21.0 | 147 | 1.3221 | 0.1293 | 1.3222 | 1.1499 |
| No log | 22.0 | 154 | 1.8802 | 0.0658 | 1.8802 | 1.3712 |
| No log | 23.0 | 161 | 1.5575 | 0.0707 | 1.5576 | 1.2480 |
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
- Mar 27, 2025