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ASAP_FineTuningBERT_AugV7_k10_task1_organization_k10_k10_fold2
genki10/ASAP_FineTuningBERT_AugV7_k10_task1_organization_k10_k10_fold2
ASAP_FineTuningBERT_AugV7_k10_task1_organization_k10_k10_fold2 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
- d89c7481
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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_k10_task1_organization_k10_k10_fold2
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: 0.6879
- Qwk: 0.5101
- Mse: 0.6885
- Rmse: 0.8297
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 | 8 | 5.9193 | 0.0391 | 5.9197 | 2.4330 |
| No log | 2.0 | 16 | 1.7320 | 0.0475 | 1.7325 | 1.3162 |
| No log | 3.0 | 24 | 1.5170 | 0.0376 | 1.5173 | 1.2318 |
| No log | 4.0 | 32 | 1.2246 | 0.0136 | 1.2250 | 1.1068 |
| No log | 5.0 | 40 | 0.9174 | 0.0519 | 0.9179 | 0.9581 |
| No log | 6.0 | 48 | 0.7221 | 0.4010 | 0.7226 | 0.8500 |
| No log | 7.0 | 56 | 0.6008 | 0.4034 | 0.6013 | 0.7754 |
| No log | 8.0 | 64 | 0.6603 | 0.3647 | 0.6612 | 0.8132 |
| No log | 9.0 | 72 | 0.6354 | 0.5476 | 0.6359 | 0.7974 |
| No log | 10.0 | 80 | 1.0452 | 0.3014 | 1.0454 | 1.0224 |
| No log | 11.0 | 88 | 0.6044 | 0.5454 | 0.6046 | 0.7776 |
| No log | 12.0 | 96 | 0.6318 | 0.5152 | 0.6326 | 0.7954 |
| No log | 13.0 | 104 | 0.6678 | 0.5144 | 0.6685 | 0.8176 |
| No log | 14.0 | 112 | 0.6280 | 0.5493 | 0.6284 | 0.7927 |
| No log | 15.0 | 120 | 0.5750 | 0.5720 | 0.5753 | 0.7585 |
| No log | 16.0 | 128 | 0.9620 | 0.3521 | 0.9625 | 0.9811 |
| No log | 17.0 | 136 | 0.8331 | 0.4342 | 0.8335 | 0.9129 |
| No log | 18.0 | 144 | 0.8073 | 0.4405 | 0.8078 | 0.8988 |
| No log | 19.0 | 152 | 0.7132 | 0.4918 | 0.7138 | 0.8449 |
| No log | 20.0 | 160 | 0.7988 | 0.4515 | 0.7994 | 0.8941 |
| No log | 21.0 | 168 | 0.8578 | 0.3817 | 0.8583 | 0.9265 |
| No log | 22.0 | 176 | 0.7184 | 0.4751 | 0.7190 | 0.8479 |
| No log | 23.0 | 184 | 0.9375 | 0.4184 | 0.9382 | 0.9686 |
| No log | 24.0 | 192 | 0.8579 | 0.3998 | 0.8587 | 0.9267 |
| No log | 25.0 | 200 | 0.6879 | 0.5101 | 0.6885 | 0.8297 |
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