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--- |
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license: bsd-3-clause |
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base_model: Salesforce/codet5p-770m |
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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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- precision |
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- recall |
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model-index: |
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- name: Salesforce-codet5p-770m-finetuned-defect-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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# Salesforce-codet5p-770m-finetuned-defect-detection |
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This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4831 |
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- Accuracy: 0.7337 |
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- F1: 0.7377 |
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- Precision: 0.7108 |
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- Recall: 0.7667 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 4711 |
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- gradient_accumulation_steps: 16 |
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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: 3 |
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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 | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.6813 | 1.0 | 996 | 0.5630 | 0.6898 | 0.6580 | 0.7128 | 0.6110 | |
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| 0.5483 | 2.0 | 1992 | 0.5040 | 0.7103 | 0.7071 | 0.6986 | 0.7158 | |
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| 0.4502 | 3.0 | 2988 | 0.4831 | 0.7337 | 0.7377 | 0.7108 | 0.7667 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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