results1

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: 0.5723

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 50

Training results

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3