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metadata-cls_15_10
gechim/metadata-cls_15_10
metadata-cls_15_10 is a text classification model from gechim. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as agpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- 13b3e570
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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. -->
metadata-cls_15_10
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0128
- Accuracy: 0.9967
- F1: 0.9932
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5273 | 1.0067 | 150 | 0.2313 | 0.9384 | 0.8468 |
| 0.2312 | 2.0134 | 300 | 0.1456 | 0.9581 | 0.9182 |
| 0.1542 | 3.0201 | 450 | 0.0944 | 0.9747 | 0.9471 |
| 0.1199 | 4.0268 | 600 | 0.0747 | 0.9810 | 0.9600 |
| 0.0943 | 5.0336 | 750 | 0.0640 | 0.9827 | 0.9608 |
| 0.0837 | 6.0403 | 900 | 0.0458 | 0.9894 | 0.9748 |
| 0.0645 | 7.0470 | 1050 | 0.0435 | 0.9894 | 0.9767 |
| 0.0509 | 8.0537 | 1200 | 0.0313 | 0.9925 | 0.9819 |
| 0.043 | 9.0604 | 1350 | 0.0242 | 0.9944 | 0.9859 |
| 0.0345 | 10.0671 | 1500 | 0.0196 | 0.9954 | 0.9904 |
| 0.03 | 11.0738 | 1650 | 0.0179 | 0.9956 | 0.9913 |
| 0.0231 | 12.0805 | 1800 | 0.0162 | 0.9958 | 0.9914 |
| 0.0227 | 13.0872 | 1950 | 0.0137 | 0.9966 | 0.9930 |
| 0.0181 | 14.0940 | 2100 | 0.0128 | 0.9967 | 0.9932 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024