llama2-13b

This model is a fine-tuned version of meta-llama/Llama-2-13b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5663

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.7874	0.65	10	1.7054
1.6126	1.29	20	1.6171
1.5251	1.94	30	1.5663

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.0.1
• Datasets 2.18.0
• Tokenizers 0.15.2