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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Salesforce-codet5p-770m-finetuned-defect-cwe-group

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: 0.5725
- Accuracy: 0.7760
- Precision: 0.6093
- Recall: 0.5124

## 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: 8
- eval_batch_size: 8
- seed: 4711
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
| No log        | 1.0   | 462  | 0.6359          | 0.7124   | 0.5669    | 0.4538 |
| 0.7472        | 2.0   | 925  | 0.5540          | 0.7496   | 0.6085    | 0.4692 |
| 0.5458        | 3.0   | 1387 | 0.5520          | 0.7490   | 0.5918    | 0.5082 |
| 0.4192        | 4.0   | 1850 | 0.5505          | 0.7558   | 0.5904    | 0.5231 |
| 0.3356        | 4.99  | 2310 | 0.5725          | 0.7760   | 0.6093    | 0.5124 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2