RoPE 与 GPT 学习式位置编码的下游评估对比
阅读原文· blog.eleuther.ai该评估系统对比了旋转位置编码(RoPE)与 GPT 类学习式位置编码在下游任务中的性能表现,通过多维度基准测试分析两种位置编码机制的应用差异,为 Transformer 模型架构中位置编码方案的选择提供实证依据。
A head-to-head comparison of Rotary Position Embedding and GPT-style learned position embeddings. Both 1.3B models were trained for 100k steps on the Pile using Mesh Transformer JAX. There isn't a very strong trend, but hopefully someone will find these results useful regardless.
Task Metric Learned Rotary lambada ppl 7.940 ± 0.208 7.156 ± 0.208 acc 0.556 ± 0.007 0.567 ± 0.007 piqa acc 0.700 ± 0.011 0.714 ± 0.011 acc_norm 0.693 ± 0.011 0.709 ± 0.011 hellaswag acc 0.376 ± 0.005 0.389 ± 0.005 acc_norm 0.472 ± 0.005 0.488 ± 0.005 winogrande acc 0.540 ± 0.014 0.571 ± 0.014 mathqa acc 0.231 ± 0.008 0.230 ± 0.008 acc_norm 0.234 ± 0.008 0.227 ± 0.008 pubmedqa acc 0.599 ± 0.015 0.583 ± 0.015 boolq acc 0.575 ± 0.009 0.614 ± 0.009 anli_r3 acc 0.344 ± 0.014 0.351 ± 0.014 openbookqa acc 0.198 ± 0.018 0.206 ± 0.018 acc_norm 0.316 ± 0.021 0.330 ± 0.021 triviaqa acc 0.041 ± 0.002 0.026 ± 0.002 arc_challenge acc 0.235 ± 0.012 0.230 ± 0.012 acc_norm 0.260 ± 0.013 0.272 ± 0.013 arc_easy acc 0.564 ± 0.010 0.568 ± 0.010 acc_norm 0.505 ± 0.010 0.486 ± 0.010 cb acc 0.375 ± 0.065 0.357 ± 0.065 cola mcc 0.042 ± 0.034 0.022 ± 0.034 copa acc 0.730 ± 0.044 0.730 ± 0.044 ethics_cm acc 0.491 ± 0.008 0.480 ± 0.008 ethics_deontology acc 0.497 ± 0.008 0.497 ± 0.008 ethics_justice acc 0.501 ± 0.010 0.501 ± 0.010 ethics_utilitarianism acc 0.497 ± 0.007 0.493 ± 0.007 ethics_virtue acc 0.200 ± 0.006 0.200 ± 0.006 headqa acc 0.227 ± 0.008 0.224 ± 0.008 acc_norm 0.270 ± 0.008 0.271 ± 0.008 logiqa acc 0.221 ± 0.016 0.215 ± 0.016 acc_norm 0.293 ± 0.018 0.283 ± 0.018 mnli acc 0.344 ± 0.005 0.344 ± 0.005 mnli_mismatched acc 0.345 ± 0.005 0.349 ± 0.005 mrpc acc 0.684 ± 0.023 0.684 ± 0.023 f1 0.812 ± 0.017 0.812 ± 0.017 qa4mre_2011 acc 0.392 ± 0.045 0.358 ± 0.045 acc_norm 0.450 ± 0.045 0.433 ± 0.045 qa4mre_2012 acc 0.287 ± 0.036 0.312 ± 0.036 acc_norm 0.394 ± 0.039 0.400 ± 0.039 qa4mre_2013 acc 0.335 ± 0.028 0.335 ± 0.028 acc_norm 0.352 ± 0.028 0.349 ± 0.028 qnli acc 0.498 ± 0.007 0.517 ± 0.007 qqp acc 0.370 ± 0.002 0.368 ± 0.002 f1 0.538 ± 0.003 0.538 ± 0.003 race acc 0.345 ± 0.015 0.343 ± 0.015 record f1 0.805 ± 0.004 0.813 ± 0.004 em 0.797 ± 0.004 0.805 ± 0.004 rte acc 0.538 ± 0.030 0.523 ± 0.030 sciq acc 0.867 ± 0.011 0.865 ± 0.011 acc_norm 0.796 ± 0.013 0.771 ± 0.013 sst acc 0.572 ± 0.017 0.519 ± 0.017 webqs acc 0.021 ± 0.003 0.006 ± 0.003 wic acc 0.500 ± 0.020 0.498 ± 0.020 wnli acc 0.437 ± 0.059 0.549 ± 0.059 wsc acc 0.365 ± 0.047 0.365 ± 0.047 wsc273 acc 0.722 ± 0.027 0.736 ± 0.027