---
base_model: Hello-SimpleAI/chatgpt-detector-roberta
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ai-detect-6
  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. -->

# ai-detect-6

This model is a fine-tuned version of [Hello-SimpleAI/chatgpt-detector-roberta](https://huggingface.co/Hello-SimpleAI/chatgpt-detector-roberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4830
- Accuracy: 0.9396
- Precision: 0.9223
- Recall: 0.9866
- F1: 0.9534

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.216         | 1.0   | 6250  | 0.4401          | 0.8916   | 0.8572    | 0.9920 | 0.9197 |
| 0.1277        | 2.0   | 12500 | 0.2963          | 0.928    | 0.9093    | 0.9831 | 0.9447 |
| 0.0858        | 3.0   | 18750 | 0.3475          | 0.9236   | 0.8993    | 0.9887 | 0.9418 |
| 0.0647        | 4.0   | 25000 | 0.2927          | 0.9404   | 0.9252    | 0.9843 | 0.9539 |
| 0.0798        | 5.0   | 31250 | 0.3095          | 0.9424   | 0.9282    | 0.9840 | 0.9553 |
| 0.0392        | 6.0   | 37500 | 0.4386          | 0.9401   | 0.9214    | 0.9887 | 0.9538 |
| 0.0433        | 7.0   | 43750 | 0.4830          | 0.9396   | 0.9223    | 0.9866 | 0.9534 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.2