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--- |
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license: apache-2.0 |
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base_model: Salesforce/codet5-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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model-index: |
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- name: CodeT5ForDefect-Detection |
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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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# CodeT5ForDefect-Detection |
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This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7645 |
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- Accuracy: 0.6647 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 9178.68 |
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- num_epochs: 7 |
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- mixed_precision_training: Native AMP |
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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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| 0.6821 | 1.0 | 2732 | 0.6957 | 0.5187 | |
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| 0.6692 | 2.0 | 5464 | 0.6373 | 0.6116 | |
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| 0.6411 | 3.0 | 8196 | 0.6130 | 0.6014 | |
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| 0.5706 | 4.0 | 10928 | 0.5804 | 0.6611 | |
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| 0.539 | 5.0 | 13660 | 0.6378 | 0.6446 | |
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| 0.419 | 6.0 | 16392 | 0.6895 | 0.6336 | |
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| 0.4162 | 7.0 | 19124 | 0.7645 | 0.6647 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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