README.md

---
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: Salesforce-codet5p-220m-finetuned-defect-cwe-group
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Salesforce-codet5p-220m-finetuned-defect-cwe-group

This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5618
- Accuracy: 0.7428
- Precision: 0.5937
- Recall: 0.4798

## 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  | 0.6991          | 0.6911   | 0.6402    | 0.3911 |
| 0.803         | 2.0   | 925  | 0.6093          | 0.7192   | 0.6387    | 0.4320 |
| 0.6422        | 3.0   | 1387 | 0.5770          | 0.7254   | 0.5693    | 0.4681 |
| 0.5365        | 4.0   | 1850 | 0.5672          | 0.7248   | 0.5682    | 0.4721 |
| 0.4489        | 4.99  | 2310 | 0.5618          | 0.7428   | 0.5937    | 0.4798 |


### Framework versions

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