llama-ai-detect-v3-test-vastai

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7499
• Accuracy: 0.7
• Precision: 0.7143
• Recall: 0.8333
• F1: 0.7692

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	1	1.0919	0.6	0.6667	0.6667	0.6667
No log	2.0	2	0.9340	0.7	0.7143	0.8333	0.7692
No log	3.0	3	0.8300	0.7	0.7143	0.8333	0.7692
No log	4.0	4	0.7732	0.7	0.7143	0.8333	0.7692
No log	5.0	5	0.7499	0.7	0.7143	0.8333	0.7692

Framework versions

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