LORA_trained_on_MMLU_5shot_test

This model is a fine-tuned version of justshao/llama2-test on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5586

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• 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
0.5992	1.0	877	0.5707
0.5572	2.0	1755	0.5622
0.541	3.0	2632	0.5613
0.5304	4.0	3510	0.5583
0.5259	5.0	4385	0.5586

Framework versions

• PEFT 0.10.0
• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2