---
license: bsd-3-clause
base_model: Salesforce/codet5p-770m
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: Salesforce-codet5p-770m-finetuned-defect-detection
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Salesforce-codet5p-770m-finetuned-defect-detection

This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4831
- Accuracy: 0.7337
- F1: 0.7377
- Precision: 0.7108
- Recall: 0.7667

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 4711
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.6813        | 1.0   | 996  | 0.5630          | 0.6898   | 0.6580 | 0.7128    | 0.6110 |
| 0.5483        | 2.0   | 1992 | 0.5040          | 0.7103   | 0.7071 | 0.6986    | 0.7158 |
| 0.4502        | 3.0   | 2988 | 0.4831          | 0.7337   | 0.7377 | 0.7108    | 0.7667 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0