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BERT_AugV8_k5_task1_organization_sp020_lw040_fold2
genki10/BERT_AugV8_k5_task1_organization_sp020_lw040_fold2
BERT_AugV8_k5_task1_organization_sp020_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
- Mar 25, 2025
- Updated
- Mar 25, 2025
- SHA
- 61b71663
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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_k5_task1_organization_sp020_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: 1.0672
- Qwk: 0.2808
- Mse: 1.0669
- Rmse: 1.0329
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 | 4 | 7.1031 | 0.0 | 7.1034 | 2.6652 |
| No log | 2.0 | 8 | 4.1815 | -0.0004 | 4.1817 | 2.0449 |
| No log | 3.0 | 12 | 2.6841 | 0.0 | 2.6846 | 1.6385 |
| No log | 4.0 | 16 | 1.5035 | 0.0213 | 1.5040 | 1.2264 |
| No log | 5.0 | 20 | 0.9740 | 0.0 | 0.9745 | 0.9872 |
| No log | 6.0 | 24 | 0.9852 | 0.0 | 0.9857 | 0.9928 |
| No log | 7.0 | 28 | 0.9294 | 0.0 | 0.9298 | 0.9643 |
| No log | 8.0 | 32 | 0.9725 | 0.0727 | 0.9728 | 0.9863 |
| No log | 9.0 | 36 | 1.2143 | 0.2247 | 1.2146 | 1.1021 |
| No log | 10.0 | 40 | 0.8991 | 0.3802 | 0.8994 | 0.9483 |
| No log | 11.0 | 44 | 1.1735 | 0.3062 | 1.1738 | 1.0834 |
| No log | 12.0 | 48 | 1.1716 | 0.3045 | 1.1718 | 1.0825 |
| No log | 13.0 | 52 | 0.7995 | 0.4522 | 0.7998 | 0.8943 |
| No log | 14.0 | 56 | 1.5677 | 0.2627 | 1.5680 | 1.2522 |
| No log | 15.0 | 60 | 1.3714 | 0.2770 | 1.3718 | 1.1712 |
| No log | 16.0 | 64 | 0.7212 | 0.4630 | 0.7215 | 0.8494 |
| No log | 17.0 | 68 | 1.0689 | 0.3079 | 1.0691 | 1.0340 |
| No log | 18.0 | 72 | 1.3680 | 0.2479 | 1.3681 | 1.1696 |
| No log | 19.0 | 76 | 0.8378 | 0.3883 | 0.8380 | 0.9154 |
| No log | 20.0 | 80 | 1.1692 | 0.2766 | 1.1692 | 1.0813 |
| No log | 21.0 | 84 | 1.2444 | 0.2589 | 1.2444 | 1.1155 |
| No log | 22.0 | 88 | 0.8527 | 0.3473 | 0.8528 | 0.9235 |
| No log | 23.0 | 92 | 1.3282 | 0.2344 | 1.3282 | 1.1525 |
| No log | 24.0 | 96 | 1.0483 | 0.3077 | 1.0483 | 1.0239 |
| No log | 25.0 | 100 | 1.0847 | 0.3234 | 1.0845 | 1.0414 |
| No log | 26.0 | 104 | 1.5548 | 0.2241 | 1.5545 | 1.2468 |
| No log | 27.0 | 108 | 0.8603 | 0.3556 | 0.8600 | 0.9274 |
| No log | 28.0 | 112 | 1.0700 | 0.2834 | 1.0698 | 1.0343 |
| No log | 29.0 | 116 | 1.0330 | 0.2941 | 1.0327 | 1.0162 |
| No log | 30.0 | 120 | 0.8875 | 0.3100 | 0.8872 | 0.9419 |
| No log | 31.0 | 124 | 1.0672 | 0.2808 | 1.0669 | 1.0329 |
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 25, 2025
- Updated
- Mar 25, 2025