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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: electra-qa-3-finetuned-viet-qa
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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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# electra-qa-3-finetuned-viet-qa
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This model is a fine-tuned version of [NlpHUST/electra-base-vn](https://huggingface.co/NlpHUST/electra-base-vn) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0900
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## Model description
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More information needed
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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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More information needed
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.7588 | 1.0 | 1912 | 1.5902 |
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| 1.2695 | 2.0 | 3824 | 1.4278 |
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| 0.9466 | 3.0 | 5736 | 1.4897 |
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| 0.7172 | 4.0 | 7648 | 1.7142 |
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| 0.5232 | 5.0 | 9560 | 1.9696 |
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| 0.4025 | 6.0 | 11472 | 2.2235 |
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| 0.3104 | 7.0 | 13384 | 2.4544 |
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| 0.243 | 8.0 | 15296 | 2.7552 |
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| 0.1863 | 9.0 | 17208 | 2.9858 |
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| 0.1531 | 10.0 | 19120 | 3.0900 |
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### Framework versions
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- Transformers 4.23.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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