Update README

README.md

@@ -310,20 +310,28 @@ Benchmark
 * 16GB RAM
 * Python 3.11.4
 
-Benchmark using [pyperf](https://github.com/psf/pyperf) with GitHub Issue
-model.
+Benchmark using [pyperf](https://github.com/psf/pyperf) with GitHub Issue model. Please note that the
+following charts use logarithmic scale, as it is convenient for displaying
+very large ranges of values.
 
 <picture>
   <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/Fatal1ty/mashumaro/381306ea92808c256354fe890bb5aa60cd3bb787/benchmark/charts/load_light.svg">
   <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/Fatal1ty/mashumaro/381306ea92808c256354fe890bb5aa60cd3bb787/benchmark/charts/load_dark.svg">
-  <img src="https://raw.githubusercontent.com/Fatal1ty/mashumaro/master/benchmark/charts/load_light.svg" width="604">
+  <img src="https://raw.githubusercontent.com/Fatal1ty/mashumaro/381306ea92808c256354fe890bb5aa60cd3bb787/benchmark/charts/load_light.svg" width="604">
 </picture>
 <picture>
   <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/Fatal1ty/mashumaro/381306ea92808c256354fe890bb5aa60cd3bb787/benchmark/charts/dump_light.svg">
   <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/Fatal1ty/mashumaro/381306ea92808c256354fe890bb5aa60cd3bb787/benchmark/charts/dump_dark.svg">
-  <img src="https://raw.githubusercontent.com/Fatal1ty/trash/f06fa7c5b6502f7d837e2f5ce07adac3f126a9a8/dump_light_.svg" width="604">
+  <img src="https://raw.githubusercontent.com/Fatal1ty/mashumaro/381306ea92808c256354fe890bb5aa60cd3bb787/benchmark/charts/dump_light.svg" width="604">
 </picture>
 
+> [!IMPORTANT]\
+> Benchmark results may vary depending on the specific configuration and
+> parameters used for serialization and deserialization. However, we have made
+> an attempt to use the available options that can speed up and smooth out the
+> differences in how libraries work.
+
+Benchmark results may vary based on configuration options. In this benchmark we Conduct your own benchmarks for optimal performance.
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