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ASAP_FineTuningBERT_AugV8_k7_task1_organization_fold1
genki10/ASAP_FineTuningBERT_AugV8_k7_task1_organization_fold1
ASAP_FineTuningBERT_AugV8_k7_task1_organization_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
- Feb 3, 2025
- Updated
- Feb 4, 2025
- SHA
- ffb69e86
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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. -->
ASAP_FineTuningBERT_AugV8_k7_task1_organization_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: 1.9110
- Qwk: 0.0052
- Mse: 1.9108
- Rmse: 1.3823
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.3333 | 2 | 10.4949 | 0.0160 | 10.4927 | 3.2392 |
| No log | 0.6667 | 4 | 8.3835 | 0.0 | 8.3817 | 2.8951 |
| No log | 1.0 | 6 | 6.5158 | 0.0 | 6.5142 | 2.5523 |
| No log | 1.3333 | 8 | 5.2521 | 0.0425 | 5.2507 | 2.2914 |
| 5.7104 | 1.6667 | 10 | 3.9605 | 0.0 | 3.9594 | 1.9898 |
| 5.7104 | 2.0 | 12 | 3.0025 | 0.0 | 3.0017 | 1.7326 |
| 5.7104 | 2.3333 | 14 | 2.4025 | 0.0540 | 2.4021 | 1.5499 |
| 5.7104 | 2.6667 | 16 | 1.8701 | 0.0301 | 1.8699 | 1.3674 |
| 5.7104 | 3.0 | 18 | 1.5437 | 0.0 | 1.5437 | 1.2425 |
| 2.2791 | 3.3333 | 20 | 1.3350 | 0.0 | 1.3351 | 1.1555 |
| 2.2791 | 3.6667 | 22 | 1.2314 | 0.0 | 1.2317 | 1.1098 |
| 2.2791 | 4.0 | 24 | 1.3786 | 0.0 | 1.3787 | 1.1742 |
| 2.2791 | 4.3333 | 26 | 1.6914 | 0.0106 | 1.6913 | 1.3005 |
| 2.2791 | 4.6667 | 28 | 1.5989 | 0.0106 | 1.5989 | 1.2645 |
| 1.7069 | 5.0 | 30 | 1.4087 | 0.0 | 1.4088 | 1.1869 |
| 1.7069 | 5.3333 | 32 | 1.3596 | 0.0 | 1.3596 | 1.1660 |
| 1.7069 | 5.6667 | 34 | 1.9110 | 0.0052 | 1.9108 | 1.3823 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 3, 2025
- Updated
- Feb 4, 2025