Llama-3-1-code-hf

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit 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: 5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 3407
• 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
• lr_scheduler_warmup_steps: 10
• training_steps: 60

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.1.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1