llama2_instruction

This model is a fine-tuned version of meta-llama/Llama-2-13b-chat-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2655

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3232	1.0	694	0.2556
0.2491	2.0	1388	0.2541
0.2007	3.0	2082	0.2583
0.1509	4.0	2776	0.2655

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2