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--- |
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license: mit |
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base_model: xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: xlm-roberta-base-New_VietNam-aug_insert_synonym |
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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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# xlm-roberta-base-New_VietNam-aug_insert_synonym |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0069 |
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- Accuracy: 0.69 |
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- F1: 0.7005 |
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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: 32 |
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- eval_batch_size: 32 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.0846 | 1.0 | 43 | 0.9691 | 0.59 | 0.4903 | |
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| 0.8237 | 2.0 | 86 | 0.7961 | 0.64 | 0.6370 | |
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| 0.6422 | 3.0 | 129 | 0.7569 | 0.71 | 0.7145 | |
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| 0.515 | 4.0 | 172 | 0.7775 | 0.71 | 0.7151 | |
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| 0.4099 | 5.0 | 215 | 0.8224 | 0.69 | 0.6970 | |
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| 0.3239 | 6.0 | 258 | 0.8941 | 0.69 | 0.7013 | |
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| 0.2709 | 7.0 | 301 | 0.8975 | 0.68 | 0.6907 | |
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| 0.2011 | 8.0 | 344 | 0.9745 | 0.7 | 0.7120 | |
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| 0.1795 | 9.0 | 387 | 1.0128 | 0.7 | 0.7120 | |
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| 0.158 | 10.0 | 430 | 1.0069 | 0.69 | 0.7005 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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