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ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold0
genki10/ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold0
ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold0 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 9, 2025
- Updated
- Feb 9, 2025
- SHA
- 6a958912
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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_AugV7_k15_task1_organization_k15_k15_fold0
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: 0.8470
- Qwk: 0.4298
- Mse: 0.8470
- Rmse: 0.9203
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 | 1.0 | 12 | 4.1663 | 0.0039 | 4.1663 | 2.0412 |
| No log | 2.0 | 24 | 1.1353 | 0.0316 | 1.1353 | 1.0655 |
| No log | 3.0 | 36 | 2.1219 | 0.1608 | 2.1219 | 1.4567 |
| No log | 4.0 | 48 | 1.3951 | 0.1894 | 1.3951 | 1.1811 |
| No log | 5.0 | 60 | 0.8467 | 0.2742 | 0.8467 | 0.9202 |
| No log | 6.0 | 72 | 0.9382 | 0.3331 | 0.9382 | 0.9686 |
| No log | 7.0 | 84 | 0.9752 | 0.3768 | 0.9752 | 0.9875 |
| No log | 8.0 | 96 | 1.0539 | 0.4196 | 1.0539 | 1.0266 |
| No log | 9.0 | 108 | 0.7404 | 0.5059 | 0.7404 | 0.8605 |
| No log | 10.0 | 120 | 0.6669 | 0.4562 | 0.6669 | 0.8166 |
| No log | 11.0 | 132 | 0.7604 | 0.4317 | 0.7604 | 0.8720 |
| No log | 12.0 | 144 | 0.9057 | 0.4054 | 0.9057 | 0.9517 |
| No log | 13.0 | 156 | 0.8071 | 0.4128 | 0.8071 | 0.8984 |
| No log | 14.0 | 168 | 0.8027 | 0.4214 | 0.8027 | 0.8959 |
| No log | 15.0 | 180 | 0.7563 | 0.4411 | 0.7563 | 0.8697 |
| No log | 16.0 | 192 | 0.8303 | 0.4470 | 0.8303 | 0.9112 |
| No log | 17.0 | 204 | 0.8528 | 0.4323 | 0.8528 | 0.9235 |
| No log | 18.0 | 216 | 0.8396 | 0.4059 | 0.8396 | 0.9163 |
| No log | 19.0 | 228 | 0.8470 | 0.4298 | 0.8470 | 0.9203 |
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 9, 2025
- Updated
- Feb 9, 2025