| --- |
| language: |
| - en |
| license: mit |
| base_model: xlm-roberta-large |
| tags: |
| - generated_from_trainer |
| datasets: |
| - tmnam20/VieGLUE |
| metrics: |
| - accuracy |
| model-index: |
| - name: xlm-roberta-large-sst2-10 |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: tmnam20/VieGLUE/SST2 |
| type: tmnam20/VieGLUE |
| config: sst2 |
| split: validation |
| args: sst2 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8910550458715596 |
| --- |
| |
| <!-- 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-large-sst2-10 |
|
|
| This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the tmnam20/VieGLUE/SST2 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4216 |
| - Accuracy: 0.8911 |
|
|
| ## 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: 10 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.1289 | 2.38 | 5000 | 0.3916 | 0.8911 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.36.0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
