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ASAP_FineTuningBERT_AugV8_k4_task1_organization_fold1
genki10/ASAP_FineTuningBERT_AugV8_k4_task1_organization_fold1
ASAP_FineTuningBERT_AugV8_k4_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 3, 2025
- SHA
- 7bc7fb6b
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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_k4_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: 1.2599
- Qwk: 0.0690
- Mse: 1.2598
- Rmse: 1.1224
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 | 0.5 | 2 | 10.6101 | 0.0241 | 10.6077 | 3.2569 |
| No log | 1.0 | 4 | 8.4571 | 0.0 | 8.4550 | 2.9078 |
| No log | 1.5 | 6 | 6.3590 | 0.0 | 6.3574 | 2.5214 |
| No log | 2.0 | 8 | 5.0383 | 0.0528 | 5.0371 | 2.2443 |
| 5.8376 | 2.5 | 10 | 3.9819 | 0.0079 | 3.9809 | 1.9952 |
| 5.8376 | 3.0 | 12 | 3.1453 | 0.0 | 3.1444 | 1.7733 |
| 5.8376 | 3.5 | 14 | 2.3039 | 0.1224 | 2.3035 | 1.5177 |
| 5.8376 | 4.0 | 16 | 1.9498 | 0.0921 | 1.9495 | 1.3962 |
| 5.8376 | 4.5 | 18 | 1.6207 | 0.0315 | 1.6206 | 1.2730 |
| 2.2324 | 5.0 | 20 | 1.3803 | 0.0 | 1.3803 | 1.1749 |
| 2.2324 | 5.5 | 22 | 1.4148 | 0.0 | 1.4149 | 1.1895 |
| 2.2324 | 6.0 | 24 | 1.4141 | 0.0 | 1.4141 | 1.1892 |
| 2.2324 | 6.5 | 26 | 1.2084 | 0.0 | 1.2086 | 1.0994 |
| 2.2324 | 7.0 | 28 | 1.1624 | 0.0211 | 1.1625 | 1.0782 |
| 1.7125 | 7.5 | 30 | 1.2010 | 0.0521 | 1.2010 | 1.0959 |
| 1.7125 | 8.0 | 32 | 1.1460 | 0.0307 | 1.1460 | 1.0705 |
| 1.7125 | 8.5 | 34 | 1.2599 | 0.0690 | 1.2598 | 1.1224 |
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 3, 2025