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Trial3BERT_AugV8_k10_task1_organization_sp010_lw030_fold1
genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw030_fold1
Trial3BERT_AugV8_k10_task1_organization_sp010_lw030_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
- Apr 14, 2025
- Updated
- Apr 14, 2025
- SHA
- 1c7e058b
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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_sp010_lw030_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: 0.8817
- Qwk: 0.3616
- Mse: 0.8801
- Rmse: 0.9382
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 | 5.5311 | 0.0482 | 5.5291 | 2.3514 |
| No log | 2.0 | 14 | 2.2551 | 0.1173 | 2.2534 | 1.5011 |
| No log | 3.0 | 21 | 1.0927 | 0.0 | 1.0913 | 1.0447 |
| No log | 4.0 | 28 | 0.9273 | 0.1542 | 0.9260 | 0.9623 |
| No log | 5.0 | 35 | 0.8561 | 0.2678 | 0.8547 | 0.9245 |
| No log | 6.0 | 42 | 0.7464 | 0.2289 | 0.7453 | 0.8633 |
| No log | 7.0 | 49 | 0.8543 | 0.2131 | 0.8534 | 0.9238 |
| No log | 8.0 | 56 | 1.0203 | 0.2415 | 1.0195 | 1.0097 |
| No log | 9.0 | 63 | 0.7269 | 0.4337 | 0.7261 | 0.8521 |
| No log | 10.0 | 70 | 0.6779 | 0.4709 | 0.6768 | 0.8227 |
| No log | 11.0 | 77 | 0.9085 | 0.2731 | 0.9071 | 0.9524 |
| No log | 12.0 | 84 | 0.6774 | 0.4240 | 0.6761 | 0.8222 |
| No log | 13.0 | 91 | 0.7812 | 0.3597 | 0.7799 | 0.8831 |
| No log | 14.0 | 98 | 1.0025 | 0.3498 | 1.0014 | 1.0007 |
| No log | 15.0 | 105 | 0.8035 | 0.3646 | 0.8021 | 0.8956 |
| No log | 16.0 | 112 | 0.8076 | 0.3803 | 0.8063 | 0.8980 |
| No log | 17.0 | 119 | 0.7858 | 0.3971 | 0.7846 | 0.8858 |
| No log | 18.0 | 126 | 0.7897 | 0.3684 | 0.7884 | 0.8879 |
| No log | 19.0 | 133 | 0.9834 | 0.3183 | 0.9818 | 0.9909 |
| No log | 20.0 | 140 | 1.0015 | 0.3151 | 0.9998 | 0.9999 |
| No log | 21.0 | 147 | 0.9859 | 0.3008 | 0.9843 | 0.9921 |
| No log | 22.0 | 154 | 0.9577 | 0.2932 | 0.9561 | 0.9778 |
| No log | 23.0 | 161 | 0.9734 | 0.3407 | 0.9719 | 0.9858 |
| No log | 24.0 | 168 | 0.7986 | 0.3414 | 0.7972 | 0.8929 |
| No log | 25.0 | 175 | 0.8817 | 0.3616 | 0.8801 | 0.9382 |
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 14, 2025
- Updated
- Apr 14, 2025