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ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold3
genki10/ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold3
ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold3 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
- 238d64d7
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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_fold3
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: 0.9146
- Qwk: 0.4056
- Mse: 0.9151
- Rmse: 0.9566
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 | 7.0126 | 0.0 | 7.0109 | 2.6478 |
| No log | 2.0 | 24 | 2.5328 | 0.1039 | 2.5321 | 1.5913 |
| No log | 3.0 | 36 | 1.2023 | 0.0102 | 1.2018 | 1.0963 |
| No log | 4.0 | 48 | 1.1339 | 0.0885 | 1.1338 | 1.0648 |
| No log | 5.0 | 60 | 0.8469 | 0.3861 | 0.8473 | 0.9205 |
| No log | 6.0 | 72 | 0.9956 | 0.3686 | 0.9962 | 0.9981 |
| No log | 7.0 | 84 | 1.1776 | 0.3591 | 1.1780 | 1.0854 |
| No log | 8.0 | 96 | 0.9065 | 0.4858 | 0.9070 | 0.9524 |
| No log | 9.0 | 108 | 1.0172 | 0.4398 | 1.0177 | 1.0088 |
| No log | 10.0 | 120 | 0.8243 | 0.5167 | 0.8248 | 0.9082 |
| No log | 11.0 | 132 | 0.7917 | 0.5219 | 0.7923 | 0.8901 |
| No log | 12.0 | 144 | 1.0351 | 0.3898 | 1.0358 | 1.0177 |
| No log | 13.0 | 156 | 0.8381 | 0.4794 | 0.8386 | 0.9158 |
| No log | 14.0 | 168 | 0.9282 | 0.4517 | 0.9289 | 0.9638 |
| No log | 15.0 | 180 | 0.8058 | 0.4959 | 0.8063 | 0.8980 |
| No log | 16.0 | 192 | 0.9018 | 0.4606 | 0.9026 | 0.9500 |
| No log | 17.0 | 204 | 0.7503 | 0.5179 | 0.7509 | 0.8665 |
| No log | 18.0 | 216 | 0.9707 | 0.4289 | 0.9715 | 0.9856 |
| No log | 19.0 | 228 | 0.7906 | 0.4794 | 0.7911 | 0.8895 |
| No log | 20.0 | 240 | 0.6917 | 0.4943 | 0.6921 | 0.8319 |
| No log | 21.0 | 252 | 0.9146 | 0.4056 | 0.9151 | 0.9566 |
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