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lc_subcate
tangminhanh/lc_subcate
lc_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 30, 2024
- Updated
- Jul 30, 2024
- SHA
- 5b696a56
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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. -->
lc_subcate
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0701
- Accuracy: 0.6573
- F1: 0.6966
- Precision: 0.7389
- Recall: 0.6588
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: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 64 | 0.0680 | 0.6754 | 0.7050 | 0.7361 | 0.6765 |
| No log | 2.0 | 128 | 0.0669 | 0.6273 | 0.6950 | 0.7762 | 0.6292 |
| No log | 3.0 | 192 | 0.0649 | 0.6433 | 0.7055 | 0.7786 | 0.6450 |
| No log | 4.0 | 256 | 0.0672 | 0.6673 | 0.7011 | 0.7370 | 0.6686 |
| No log | 5.0 | 320 | 0.0673 | 0.6313 | 0.6918 | 0.7625 | 0.6331 |
| No log | 6.0 | 384 | 0.0699 | 0.6573 | 0.6980 | 0.7422 | 0.6588 |
| No log | 7.0 | 448 | 0.0702 | 0.6553 | 0.6909 | 0.7287 | 0.6568 |
| 0.0576 | 8.0 | 512 | 0.0701 | 0.6573 | 0.6966 | 0.7389 | 0.6588 |
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 30, 2024
- Updated
- Jul 30, 2024