metadata
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: []
llama-ai-detector
This model is a fine-tuned version of 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