---
library_name: peft
tags:
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-chat-hf
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: llama-ai-detector
  results: []
---

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

This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1959
- Accuracy: 0.94
- Precision: 0.9717
- Recall: 0.9365
- F1: 0.9538
- Pearson: 0.8696

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| No log        | 1.0   | 313  | 0.2239          | 0.924    | 0.9479    | 0.9365 | 0.9422 | 0.8315  |
| 0.2965        | 2.0   | 626  | 0.1959          | 0.94     | 0.9717    | 0.9365 | 0.9538 | 0.8696  |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1