leaderboard-pr-bot's picture
Adding Evaluation Results
7629ec2
|
raw
history blame
1.1 kB
metadata
library_name: peft

Training procedure

The following bitsandbytes quantization config was used during training:

  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: bfloat16

Framework versions

  • PEFT 0.4.0

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 45.53
ARC (25-shot) 55.72
HellaSwag (10-shot) 78.75
MMLU (5-shot) 47.99
TruthfulQA (0-shot) 43.11
Winogrande (5-shot) 75.85
GSM8K (5-shot) 10.77
DROP (3-shot) 6.53