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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad_v2 |
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model-index: |
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- name: xlmRoberta-for-VietnameseQA |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# xlmRoberta-for-VietnameseQA |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the UIT-Viquad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8315 |
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## Model description |
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Fine-tuned by Honganh (FPTU AI Club) |
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Credits to Viet Nguyen for the training and evaluation data. |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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Credits to Viet Nguyen for the training and evaluation data. |
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Training data: https://github.com/vietnguyen012/QA_viuit/blob/main/train.json |
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Evaluation data: https://github.com/vietnguyen012/QA_viuit/blob/main/trial/trial.json |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5701 | 1.0 | 2534 | 1.2220 | |
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| 1.2942 | 2.0 | 5068 | 0.9698 | |
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| 1.0693 | 3.0 | 7602 | 0.8315 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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