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hr_subcate
tangminhanh/hr_subcate
hr_subcate is a text classification model from tangminhanh. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024
- SHA
- 5d47b608
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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. -->
hr_subcate
This model is a fine-tuned version of tangminhanh/hr_cate on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0124
- Accuracy: 0.8071
- F1: 0.8474
- Precision: 0.8804
- Recall: 0.8168
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 227 | 0.0143 | 0.7324 | 0.8083 | 0.9027 | 0.7318 |
| No log | 2.0 | 454 | 0.0140 | 0.7474 | 0.8101 | 0.8761 | 0.7533 |
| 0.0122 | 3.0 | 681 | 0.0130 | 0.7717 | 0.8285 | 0.8939 | 0.7721 |
| 0.0122 | 4.0 | 908 | 0.0131 | 0.7894 | 0.8310 | 0.8735 | 0.7925 |
| 0.0092 | 5.0 | 1135 | 0.0126 | 0.7899 | 0.8388 | 0.8888 | 0.7942 |
| 0.0092 | 6.0 | 1362 | 0.0127 | 0.7910 | 0.8383 | 0.8789 | 0.8013 |
| 0.0073 | 7.0 | 1589 | 0.0126 | 0.7977 | 0.8422 | 0.8788 | 0.8085 |
| 0.0073 | 8.0 | 1816 | 0.0123 | 0.7988 | 0.8436 | 0.8717 | 0.8173 |
| 0.0061 | 9.0 | 2043 | 0.0125 | 0.8027 | 0.8458 | 0.8782 | 0.8157 |
| 0.0061 | 10.0 | 2270 | 0.0124 | 0.8071 | 0.8474 | 0.8804 | 0.8168 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024