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---
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
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