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Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold2
genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_fold2
Trial3BERT_AugV8_k10_task1_organization_sp010_lw040_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 8, 2025
- Updated
- Apr 8, 2025
- SHA
- adba0f9a
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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_lw040_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: 1.3881
- Qwk: 0.2000
- Mse: 1.3879
- Rmse: 1.1781
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 | 6.8320 | 0.0027 | 6.8322 | 2.6138 |
| No log | 2.0 | 14 | 2.3190 | 0.1859 | 2.3194 | 1.5229 |
| No log | 3.0 | 21 | 0.9753 | 0.0213 | 0.9757 | 0.9878 |
| No log | 4.0 | 28 | 0.8781 | 0.0543 | 0.8784 | 0.9373 |
| No log | 5.0 | 35 | 0.7115 | 0.4401 | 0.7117 | 0.8436 |
| No log | 6.0 | 42 | 0.5963 | 0.4621 | 0.5964 | 0.7723 |
| No log | 7.0 | 49 | 0.7205 | 0.3714 | 0.7205 | 0.8488 |
| No log | 8.0 | 56 | 0.9459 | 0.3377 | 0.9458 | 0.9725 |
| No log | 9.0 | 63 | 1.0141 | 0.2931 | 1.0138 | 1.0069 |
| No log | 10.0 | 70 | 0.5529 | 0.4689 | 0.5527 | 0.7435 |
| No log | 11.0 | 77 | 0.6923 | 0.3793 | 0.6921 | 0.8319 |
| No log | 12.0 | 84 | 0.6608 | 0.4515 | 0.6604 | 0.8127 |
| No log | 13.0 | 91 | 1.0864 | 0.2958 | 1.0860 | 1.0421 |
| No log | 14.0 | 98 | 1.6875 | 0.1537 | 1.6869 | 1.2988 |
| No log | 15.0 | 105 | 0.7122 | 0.3942 | 0.7117 | 0.8436 |
| No log | 16.0 | 112 | 0.9470 | 0.2999 | 0.9464 | 0.9729 |
| No log | 17.0 | 119 | 1.1360 | 0.2674 | 1.1357 | 1.0657 |
| No log | 18.0 | 126 | 0.9654 | 0.3037 | 0.9651 | 0.9824 |
| No log | 19.0 | 133 | 1.0618 | 0.2388 | 1.0615 | 1.0303 |
| No log | 20.0 | 140 | 0.8940 | 0.2922 | 0.8936 | 0.9453 |
| No log | 21.0 | 147 | 0.8947 | 0.3232 | 0.8943 | 0.9457 |
| No log | 22.0 | 154 | 0.7011 | 0.3964 | 0.7007 | 0.8371 |
| No log | 23.0 | 161 | 0.6597 | 0.4339 | 0.6593 | 0.8119 |
| No log | 24.0 | 168 | 1.3825 | 0.1604 | 1.3820 | 1.1756 |
| No log | 25.0 | 175 | 1.3881 | 0.2000 | 1.3879 | 1.1781 |
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 8, 2025
- Updated
- Apr 8, 2025