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--- |
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license: bsd-3-clause |
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base_model: Salesforce/codet5p-220m |
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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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- precision |
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- recall |
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model-index: |
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- name: Salesforce-codet5p-220m-finetuned-defect-cwe-group |
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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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# Salesforce-codet5p-220m-finetuned-defect-cwe-group |
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This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5618 |
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- Accuracy: 0.7428 |
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- Precision: 0.5937 |
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- Recall: 0.4798 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 4711 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 5 |
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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 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:| |
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| No log | 1.0 | 462 | 0.6991 | 0.6911 | 0.6402 | 0.3911 | |
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| 0.803 | 2.0 | 925 | 0.6093 | 0.7192 | 0.6387 | 0.4320 | |
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| 0.6422 | 3.0 | 1387 | 0.5770 | 0.7254 | 0.5693 | 0.4681 | |
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| 0.5365 | 4.0 | 1850 | 0.5672 | 0.7248 | 0.5682 | 0.4721 | |
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| 0.4489 | 4.99 | 2310 | 0.5618 | 0.7428 | 0.5937 | 0.4798 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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