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--- |
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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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model-index: |
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- name: Testing |
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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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# Testing |
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This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4526 |
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- Accuracy: 0.9038 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.7258 | 1.0 | 1373 | 0.5835 | 0.8779 | |
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| 0.5861 | 2.0 | 2746 | 0.5315 | 0.8882 | |
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| 0.5478 | 3.0 | 4119 | 0.5053 | 0.8941 | |
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| 0.5338 | 4.0 | 5492 | 0.4929 | 0.8974 | |
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| 0.5045 | 5.0 | 6865 | 0.4836 | 0.8995 | |
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| 0.4958 | 6.0 | 8238 | 0.4662 | 0.9018 | |
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| 0.4821 | 7.0 | 9611 | 0.4561 | 0.9035 | |
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| 0.469 | 8.0 | 10984 | 0.4625 | 0.9034 | |
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| 0.4718 | 9.0 | 12357 | 0.4522 | 0.9048 | |
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| 0.4642 | 10.0 | 13730 | 0.4526 | 0.9038 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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