llama-2-13b-orca

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:

• eval_loss: 1.3518
• eval_runtime: 296.6337
• eval_samples_per_second: 3.452
• eval_steps_per_second: 1.726
• epoch: 0.02
• step: 500

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: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3