llama2-7b-sft-lora

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 4
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 32
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• training_steps: 2000

Framework versions

• Transformers 4.41.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.19.1

Training procedure

Framework versions

• PEFT 0.6.1