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xlm-roberta-base-sst2-1
tmnam20/xlm-roberta-base-sst2-1
xlm-roberta-base-sst2-1 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
- 8aa9f2df
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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-sst2-1
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: 0.3886
- Accuracy: 0.8819
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: 1
- 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 |
|---|---|---|---|---|
| 0.3646 | 0.24 | 500 | 0.3292 | 0.8555 |
| 0.3026 | 0.48 | 1000 | 0.4031 | 0.8658 |
| 0.2802 | 0.71 | 1500 | 0.3818 | 0.8716 |
| 0.2681 | 0.95 | 2000 | 0.3480 | 0.8693 |
| 0.2012 | 1.19 | 2500 | 0.3381 | 0.8819 |
| 0.2212 | 1.43 | 3000 | 0.3682 | 0.8784 |
| 0.2003 | 1.66 | 3500 | 0.3312 | 0.8899 |
| 0.2157 | 1.9 | 4000 | 0.3195 | 0.8899 |
| 0.1504 | 2.14 | 4500 | 0.3788 | 0.8933 |
| 0.1408 | 2.38 | 5000 | 0.4484 | 0.8819 |
| 0.1508 | 2.61 | 5500 | 0.4194 | 0.875 |
| 0.1604 | 2.85 | 6000 | 0.3730 | 0.8842 |
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