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BERT_AugV8_k10_task1_organization_sp040_lw010_fold1
genki10/BERT_AugV8_k10_task1_organization_sp040_lw010_fold1
BERT_AugV8_k10_task1_organization_sp040_lw010_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
- Mar 27, 2025
- Updated
- Mar 27, 2025
- SHA
- 0568d79f
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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_sp040_lw010_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: 0.9365
- Qwk: 0.3310
- Mse: 0.9343
- Rmse: 0.9666
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 | 6.8888 | 0.0 | 6.8864 | 2.6242 |
| No log | 2.0 | 14 | 3.4861 | 0.0 | 3.4842 | 1.8666 |
| No log | 3.0 | 21 | 1.3525 | 0.0106 | 1.3510 | 1.1623 |
| No log | 4.0 | 28 | 1.4476 | 0.0301 | 1.4460 | 1.2025 |
| No log | 5.0 | 35 | 0.9859 | 0.0682 | 0.9844 | 0.9922 |
| No log | 6.0 | 42 | 0.9300 | 0.2136 | 0.9283 | 0.9635 |
| No log | 7.0 | 49 | 0.8499 | 0.1610 | 0.8486 | 0.9212 |
| No log | 8.0 | 56 | 0.7548 | 0.3204 | 0.7531 | 0.8678 |
| No log | 9.0 | 63 | 0.7008 | 0.3969 | 0.6992 | 0.8362 |
| No log | 10.0 | 70 | 0.7285 | 0.4560 | 0.7269 | 0.8526 |
| No log | 11.0 | 77 | 0.5967 | 0.5353 | 0.5954 | 0.7717 |
| No log | 12.0 | 84 | 0.9592 | 0.3821 | 0.9573 | 0.9784 |
| No log | 13.0 | 91 | 1.1090 | 0.3405 | 1.1067 | 1.0520 |
| No log | 14.0 | 98 | 1.3692 | 0.2590 | 1.3665 | 1.1690 |
| No log | 15.0 | 105 | 1.7331 | 0.1657 | 1.7301 | 1.3153 |
| No log | 16.0 | 112 | 0.6807 | 0.5009 | 0.6795 | 0.8243 |
| No log | 17.0 | 119 | 1.1071 | 0.3026 | 1.1049 | 1.0512 |
| No log | 18.0 | 126 | 1.4965 | 0.2078 | 1.4940 | 1.2223 |
| No log | 19.0 | 133 | 0.9131 | 0.3260 | 0.9110 | 0.9545 |
| No log | 20.0 | 140 | 1.2559 | 0.2714 | 1.2536 | 1.1196 |
| No log | 21.0 | 147 | 1.0110 | 0.3409 | 1.0089 | 1.0044 |
| No log | 22.0 | 154 | 1.1476 | 0.2910 | 1.1454 | 1.0703 |
| No log | 23.0 | 161 | 1.2921 | 0.2809 | 1.2898 | 1.1357 |
| No log | 24.0 | 168 | 0.9142 | 0.3293 | 0.9123 | 0.9551 |
| No log | 25.0 | 175 | 0.8733 | 0.3472 | 0.8713 | 0.9335 |
| No log | 26.0 | 182 | 0.9365 | 0.3310 | 0.9343 | 0.9666 |
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