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xlm-roberta-base-sst2-100
tmnam20/xlm-roberta-base-sst2-100
xlm-roberta-base-sst2-100 is a text classification model from tmnam20. 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
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- e1c97957
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Base models
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. -->
xlm-roberta-base-sst2-100
This model is a fine-tuned version of xlm-roberta-base on the tmnam20/VieGLUE/SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3776
- Accuracy: 0.8945
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: 16
- seed: 100
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4011 | 0.24 | 500 | 0.3866 | 0.8475 |
| 0.313 | 0.48 | 1000 | 0.3352 | 0.8647 |
| 0.2626 | 0.71 | 1500 | 0.4805 | 0.8349 |
| 0.2597 | 0.95 | 2000 | 0.3691 | 0.8681 |
| 0.2068 | 1.19 | 2500 | 0.3089 | 0.8991 |
| 0.2347 | 1.43 | 3000 | 0.3957 | 0.8842 |
| 0.2133 | 1.66 | 3500 | 0.3049 | 0.8991 |
| 0.1986 | 1.9 | 4000 | 0.3184 | 0.8956 |
| 0.1596 | 2.14 | 4500 | 0.3846 | 0.8853 |
| 0.1457 | 2.38 | 5000 | 0.3667 | 0.8968 |
| 0.1861 | 2.61 | 5500 | 0.3675 | 0.8922 |
| 0.1401 | 2.85 | 6000 | 0.3853 | 0.8899 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.0.dev20231203+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- en
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024