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Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_fold4
genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_fold4
Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_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
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- 85881bb8
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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. -->
Trial3BERT_AugV8_k7_task1_organization_sp010_lw040_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: 1.9805
- Qwk: 0.1255
- Mse: 1.9805
- Rmse: 1.4073
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 | 11.3292 | -0.0182 | 11.3292 | 3.3659 |
| No log | 2.0 | 10 | 7.0781 | 0.0018 | 7.0781 | 2.6605 |
| No log | 3.0 | 15 | 4.2128 | 0.0079 | 4.2128 | 2.0525 |
| No log | 4.0 | 20 | 2.1788 | 0.1326 | 2.1788 | 1.4761 |
| No log | 5.0 | 25 | 1.1346 | 0.0316 | 1.1346 | 1.0652 |
| No log | 6.0 | 30 | 1.2400 | 0.0432 | 1.2400 | 1.1135 |
| No log | 7.0 | 35 | 1.0216 | 0.1008 | 1.0216 | 1.0108 |
| No log | 8.0 | 40 | 1.1095 | 0.2332 | 1.1095 | 1.0533 |
| No log | 9.0 | 45 | 1.0429 | 0.2832 | 1.0429 | 1.0212 |
| No log | 10.0 | 50 | 2.3136 | 0.1022 | 2.3136 | 1.5211 |
| No log | 11.0 | 55 | 1.1665 | 0.2967 | 1.1665 | 1.0800 |
| No log | 12.0 | 60 | 1.2259 | 0.2686 | 1.2259 | 1.1072 |
| No log | 13.0 | 65 | 1.8533 | 0.1524 | 1.8533 | 1.3613 |
| No log | 14.0 | 70 | 2.1726 | 0.1151 | 2.1726 | 1.4740 |
| No log | 15.0 | 75 | 2.0465 | 0.1170 | 2.0465 | 1.4306 |
| No log | 16.0 | 80 | 1.6963 | 0.1864 | 1.6963 | 1.3024 |
| No log | 17.0 | 85 | 1.4918 | 0.2158 | 1.4918 | 1.2214 |
| No log | 18.0 | 90 | 1.9176 | 0.1532 | 1.9176 | 1.3848 |
| No log | 19.0 | 95 | 2.2912 | 0.1241 | 2.2912 | 1.5137 |
| No log | 20.0 | 100 | 2.0990 | 0.1090 | 2.0990 | 1.4488 |
| No log | 21.0 | 105 | 1.7341 | 0.1441 | 1.7341 | 1.3168 |
| No log | 22.0 | 110 | 2.0114 | 0.1291 | 2.0114 | 1.4182 |
| No log | 23.0 | 115 | 1.9808 | 0.1100 | 1.9808 | 1.4074 |
| No log | 24.0 | 120 | 1.6257 | 0.1678 | 1.6257 | 1.2750 |
| No log | 25.0 | 125 | 1.6591 | 0.1700 | 1.6591 | 1.2880 |
| No log | 26.0 | 130 | 1.9805 | 0.1255 | 1.9805 | 1.4073 |
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
- Apr 8, 2025
- Updated
- Apr 8, 2025