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paws_x_xlm_r_only_zh
semindan/paws_x_xlm_r_only_zh
paws_x_xlm_r_only_zh is a text classification model from semindan. 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
- Dec 17, 2022
- Updated
- Jan 7, 2023
- SHA
- 8a2cba34
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Datasets
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. -->
paws_x_xlm_r_only_zh
This model is a fine-tuned version of xlm-roberta-base on the paws-x dataset. It achieves the following results on the evaluation set:
- Loss: 0.6193
- Accuracy: 0.841
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4928 | 1.0 | 386 | 0.4940 | 0.805 |
| 0.2904 | 2.0 | 772 | 0.4153 | 0.8415 |
| 0.2302 | 3.0 | 1158 | 0.4341 | 0.8465 |
| 0.1899 | 4.0 | 1544 | 0.4475 | 0.8425 |
| 0.1599 | 5.0 | 1930 | 0.4623 | 0.84 |
| 0.1358 | 6.0 | 2316 | 0.5354 | 0.8465 |
| 0.1147 | 7.0 | 2702 | 0.5736 | 0.847 |
| 0.1012 | 8.0 | 3088 | 0.5782 | 0.849 |
| 0.087 | 9.0 | 3474 | 0.5844 | 0.844 |
| 0.08 | 10.0 | 3860 | 0.6193 | 0.841 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Dec 17, 2022
- Updated
- Jan 7, 2023