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Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold2
genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold2
Trial3BERT_AugV8_k10_task1_organization_sp020_lw070_fold2 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 13, 2025
- Updated
- Apr 13, 2025
- SHA
- ecac952e
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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_k10_task1_organization_sp020_lw070_fold2
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: 1.9616
- Qwk: 0.1704
- Mse: 1.9607
- Rmse: 1.4002
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 | 8 | 8.3649 | 0.0 | 8.3650 | 2.8922 |
| No log | 2.0 | 16 | 3.7248 | 0.0 | 3.7253 | 1.9301 |
| No log | 3.0 | 24 | 1.6406 | 0.0318 | 1.6410 | 1.2810 |
| No log | 4.0 | 32 | 2.1851 | 0.0176 | 2.1849 | 1.4782 |
| No log | 5.0 | 40 | 2.8452 | 0.0046 | 2.8446 | 1.6866 |
| No log | 6.0 | 48 | 2.2236 | 0.0763 | 2.2230 | 1.4910 |
| No log | 7.0 | 56 | 1.9306 | 0.0769 | 1.9294 | 1.3890 |
| No log | 8.0 | 64 | 1.7017 | 0.1501 | 1.7007 | 1.3041 |
| No log | 9.0 | 72 | 2.2811 | 0.1525 | 2.2796 | 1.5098 |
| No log | 10.0 | 80 | 1.4790 | 0.1862 | 1.4780 | 1.2157 |
| No log | 11.0 | 88 | 1.8558 | 0.2079 | 1.8548 | 1.3619 |
| No log | 12.0 | 96 | 1.8655 | 0.1892 | 1.8648 | 1.3656 |
| No log | 13.0 | 104 | 2.6720 | 0.1383 | 2.6710 | 1.6343 |
| No log | 14.0 | 112 | 2.0571 | 0.1766 | 2.0562 | 1.4339 |
| No log | 15.0 | 120 | 2.4856 | 0.1323 | 2.4842 | 1.5761 |
| No log | 16.0 | 128 | 1.8874 | 0.1867 | 1.8865 | 1.3735 |
| No log | 17.0 | 136 | 2.6168 | 0.1147 | 2.6155 | 1.6172 |
| No log | 18.0 | 144 | 2.1195 | 0.1474 | 2.1185 | 1.4555 |
| No log | 19.0 | 152 | 2.3073 | 0.1148 | 2.3064 | 1.5187 |
| No log | 20.0 | 160 | 2.6781 | 0.0802 | 2.6772 | 1.6362 |
| No log | 21.0 | 168 | 1.9621 | 0.1536 | 1.9611 | 1.4004 |
| No log | 22.0 | 176 | 2.4793 | 0.1310 | 2.4781 | 1.5742 |
| No log | 23.0 | 184 | 1.7683 | 0.1629 | 1.7672 | 1.3294 |
| No log | 24.0 | 192 | 1.8361 | 0.1710 | 1.8351 | 1.3546 |
| No log | 25.0 | 200 | 1.9363 | 0.1543 | 1.9352 | 1.3911 |
| No log | 26.0 | 208 | 1.9616 | 0.1704 | 1.9607 | 1.4002 |
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 13, 2025
- Updated
- Apr 13, 2025