metadata
library_name: transformers
license: apache-2.0
datasets:
- Open-Orca/SlimOrca
pipeline_tag: text-generation
base_model: Na0s/Llama-3.1-8b-Pruned-4-Layers
Model Card for Na0s/Llama-3.1-8B-Pruned-4-Layers_LoRA-PEFT
Model Details
Model Description
- Finetuned from model:[Na0s/Llama-3.1-8b-Pruned-4-Layers]
Training Details
LoRA BF16,
batch_size=2,
steps=10000, gradient_accumulation_steps = 4,
warmup_steps = 5,
max_steps = 10000
learning_rate = 2e-4,
fp16 = not is_bfloat16_supported(),
bf16 = is_bfloat16_supported(),
logging_steps = 1,
optim = "adamw_8bit",
weight_decay = 0.01,
lr_scheduler_type = "linear",
seed = 3407
Training Data
[Open-Orca/SlimOrca]
Evaluation
MMLU Pro 0-shot: 0.2937
Evaluation Data
[TIGER-AI-Lab/MMLU-Pro]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).