---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: multiclass_vulnerability_classifier
  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. -->

# multiclass_vulnerability_classifier

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0699

## 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: 42
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 41   | 30.4020         |
| No log        | 2.0   | 82   | 9.8970          |
| No log        | 3.0   | 123  | 5.3734          |
| No log        | 4.0   | 164  | 4.3631          |
| No log        | 5.0   | 205  | 3.9439          |
| No log        | 6.0   | 246  | 3.5538          |
| No log        | 7.0   | 287  | 3.1623          |
| No log        | 8.0   | 328  | 2.7757          |
| No log        | 9.0   | 369  | 2.4235          |
| No log        | 10.0  | 410  | 2.1290          |
| No log        | 11.0  | 451  | 1.8848          |
| No log        | 12.0  | 492  | 1.6854          |
| 8.4834        | 13.0  | 533  | 1.5165          |
| 8.4834        | 14.0  | 574  | 1.3829          |
| 8.4834        | 15.0  | 615  | 1.2813          |
| 8.4834        | 16.0  | 656  | 1.2007          |
| 8.4834        | 17.0  | 697  | 1.1428          |
| 8.4834        | 18.0  | 738  | 1.1028          |
| 8.4834        | 19.0  | 779  | 1.0779          |
| 8.4834        | 20.0  | 820  | 1.0699          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1