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SOMD-xlm-stage2-v3
ThuyNT03/SOMD-xlm-stage2-v3
SOMD-xlm-stage2-v3 is a text classification model from ThuyNT03. 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
- xlm-roberta
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- 3bdffdea
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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. -->
SOMD-xlm-stage2-v3
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0125
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 202 | 0.8204 |
| No log | 1.99 | 404 | 0.4907 |
| 0.8995 | 2.99 | 606 | 0.3113 |
| 0.8995 | 3.98 | 808 | 0.2219 |
| 0.3172 | 4.98 | 1010 | 0.1731 |
| 0.3172 | 5.97 | 1212 | 0.1251 |
| 0.3172 | 6.97 | 1414 | 0.0677 |
| 0.1475 | 7.96 | 1616 | 0.0648 |
| 0.1475 | 8.96 | 1818 | 0.0422 |
| 0.0761 | 9.95 | 2020 | 0.0406 |
| 0.0761 | 10.95 | 2222 | 0.0280 |
| 0.0761 | 11.94 | 2424 | 0.0305 |
| 0.0484 | 12.94 | 2626 | 0.0251 |
| 0.0484 | 13.93 | 2828 | 0.0254 |
| 0.0382 | 14.93 | 3030 | 0.0207 |
| 0.0382 | 15.92 | 3232 | 0.0223 |
| 0.0382 | 16.92 | 3434 | 0.0168 |
| 0.0287 | 17.91 | 3636 | 0.0191 |
| 0.0287 | 18.91 | 3838 | 0.0158 |
| 0.0263 | 19.9 | 4040 | 0.0149 |
| 0.0263 | 20.9 | 4242 | 0.0155 |
| 0.0263 | 21.89 | 4444 | 0.0138 |
| 0.0228 | 22.89 | 4646 | 0.0130 |
| 0.0228 | 23.88 | 4848 | 0.0131 |
| 0.018 | 24.88 | 5050 | 0.0125 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024