llama_7b_base_AC4_BT4_PAD-right_R16_Alpha16_trainO0-109824_exe

This model is a fine-tuned version of meta-llama/CodeLlama-7b-hf on an unknown 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: 0.001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• PEFT 0.13.0
• Transformers 4.45.0
• Pytorch 2.4.1+cu124
• Datasets 3.0.1
• Tokenizers 0.20.0