---
license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ai-detection
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ai-detection

This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3740
- F1: 0.9431
- Accuracy: 0.9431

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
| 0.094         | 1.0   | 10625 | 0.3861          | 0.9409 | 0.9409   |
| 0.0695        | 2.0   | 21250 | 0.4046          | 0.9409 | 0.9409   |
| 0.0577        | 3.0   | 31875 | 0.4162          | 0.9437 | 0.9437   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1