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ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold4
genki10/ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold4
ASAP_FineTuningBERT_AugV7_k15_task1_organization_k15_k15_fold4 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
- b5492a84
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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_fold4
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: 1.0025
- Qwk: 0.3251
- Mse: 1.0025
- Rmse: 1.0012
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 | 3.4982 | 0.0040 | 3.4982 | 1.8703 |
| No log | 2.0 | 24 | 1.2358 | 0.0316 | 1.2358 | 1.1117 |
| No log | 3.0 | 36 | 1.1334 | 0.0316 | 1.1334 | 1.0646 |
| No log | 4.0 | 48 | 1.1006 | 0.0522 | 1.1006 | 1.0491 |
| No log | 5.0 | 60 | 0.8540 | 0.2462 | 0.8540 | 0.9241 |
| No log | 6.0 | 72 | 1.3553 | 0.1601 | 1.3553 | 1.1642 |
| No log | 7.0 | 84 | 1.2062 | 0.2679 | 1.2062 | 1.0983 |
| No log | 8.0 | 96 | 1.0293 | 0.2572 | 1.0293 | 1.0145 |
| No log | 9.0 | 108 | 0.8941 | 0.3835 | 0.8941 | 0.9455 |
| No log | 10.0 | 120 | 0.8351 | 0.4121 | 0.8351 | 0.9138 |
| No log | 11.0 | 132 | 1.3136 | 0.2941 | 1.3136 | 1.1461 |
| No log | 12.0 | 144 | 1.4277 | 0.2202 | 1.4277 | 1.1949 |
| No log | 13.0 | 156 | 1.4356 | 0.2499 | 1.4356 | 1.1982 |
| No log | 14.0 | 168 | 1.0819 | 0.3501 | 1.0819 | 1.0402 |
| No log | 15.0 | 180 | 0.8725 | 0.3674 | 0.8725 | 0.9341 |
| No log | 16.0 | 192 | 0.8772 | 0.3996 | 0.8772 | 0.9366 |
| No log | 17.0 | 204 | 0.8466 | 0.3984 | 0.8466 | 0.9201 |
| No log | 18.0 | 216 | 0.9145 | 0.3272 | 0.9145 | 0.9563 |
| No log | 19.0 | 228 | 0.9318 | 0.3409 | 0.9318 | 0.9653 |
| No log | 20.0 | 240 | 1.0025 | 0.3251 | 1.0025 | 1.0012 |
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