|
--- |
|
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 |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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 |
