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BERT_AugV8_k7_task1_organization_sp020_lw040_fold2
genki10/BERT_AugV8_k7_task1_organization_sp020_lw040_fold2
BERT_AugV8_k7_task1_organization_sp020_lw040_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
- Mar 27, 2025
- Updated
- Mar 27, 2025
- SHA
- d2de8660
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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. -->
BERT_AugV8_k7_task1_organization_sp020_lw040_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: 0.9481
- Qwk: 0.3078
- Mse: 0.9471
- Rmse: 0.9732
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: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 6.7489 | 0.0 | 6.7492 | 2.5979 |
| No log | 2.0 | 10 | 3.5276 | 0.0 | 3.5279 | 1.8783 |
| No log | 3.0 | 15 | 1.9808 | 0.0602 | 1.9812 | 1.4075 |
| No log | 4.0 | 20 | 1.0899 | 0.0 | 1.0903 | 1.0442 |
| No log | 5.0 | 25 | 1.2017 | 0.0 | 1.2022 | 1.0964 |
| No log | 6.0 | 30 | 1.1571 | 0.0425 | 1.1574 | 1.0758 |
| No log | 7.0 | 35 | 0.7332 | 0.3881 | 0.7332 | 0.8563 |
| No log | 8.0 | 40 | 0.6485 | 0.4557 | 0.6483 | 0.8051 |
| No log | 9.0 | 45 | 0.5254 | 0.5152 | 0.5252 | 0.7247 |
| No log | 10.0 | 50 | 0.5145 | 0.5147 | 0.5141 | 0.7170 |
| No log | 11.0 | 55 | 0.8585 | 0.4351 | 0.8578 | 0.9262 |
| No log | 12.0 | 60 | 0.8876 | 0.4261 | 0.8867 | 0.9416 |
| No log | 13.0 | 65 | 1.2361 | 0.2966 | 1.2346 | 1.1111 |
| No log | 14.0 | 70 | 1.0262 | 0.3361 | 1.0251 | 1.0125 |
| No log | 15.0 | 75 | 0.7812 | 0.4112 | 0.7802 | 0.8833 |
| No log | 16.0 | 80 | 0.9242 | 0.3333 | 0.9232 | 0.9608 |
| No log | 17.0 | 85 | 1.0622 | 0.3402 | 1.0612 | 1.0302 |
| No log | 18.0 | 90 | 0.9013 | 0.3995 | 0.9003 | 0.9489 |
| No log | 19.0 | 95 | 0.6461 | 0.4612 | 0.6454 | 0.8034 |
| No log | 20.0 | 100 | 0.8096 | 0.4147 | 0.8089 | 0.8994 |
| No log | 21.0 | 105 | 1.1893 | 0.3191 | 1.1882 | 1.0901 |
| No log | 22.0 | 110 | 1.1392 | 0.3283 | 1.1383 | 1.0669 |
| No log | 23.0 | 115 | 1.2129 | 0.2483 | 1.2119 | 1.1008 |
| No log | 24.0 | 120 | 0.9481 | 0.3078 | 0.9471 | 0.9732 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 27, 2025
- Updated
- Mar 27, 2025