Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 
 # Model Description
 The ASMTransformers model is a machine learning model that calculates embeddings of assembly functions to enable comparison and similarity
-operations. Instruction  set architectures (ISAs) ARM, AMD64, RISC-V and i386 assembly are supported.  The aim is to aid in the process of reverse engineering.
+operations. Instruction set architectures (ISAs) ARM, AMD64, RISC-V and i386 assembly are supported. The aim is to aid in the process of reverse engineering.
 
 # Status
 Not actively maintained after publishing
@@ -42,7 +42,7 @@ The training set for this phase includes triplets that are formed using versions
 
 **Estimated training time:**
 
-pretraining: 38 hours on 4 NVIDIA H200s  
+pretraining: 38 hours on 4 NVIDIA H200s
 finetuning: 4 hours on 1 NVIDIA H200
 
 
@@ -135,9 +135,9 @@ either the training set or the test set, not both.
 
 |Architecture | Optimization | # functions |
 |-------------|--------------|-------------|
-|amd64 |	O0 | 	1762442    |
-|amd64 |	O1 | 	1448046    |
-|amd64 |	O2 | 	1403180    |
+|amd64 |	O0 | 	1762442 |
+|amd64 |	O1 | 	1448046 |
+|amd64 |	O2 | 	1403180 |
 |amd64 |	O3 |	1308199 |
 |amd64 |	Oc |	899892 |
 |amd64 |	Os |	1380405 |
@@ -158,7 +158,7 @@ either the training set or the test set, not both.
 |riscv64 |	O2 |	670651 |
 |riscv64 |	O3 |	641428 |
 |riscv64 |	Oc |	259691 |
-|riscv64  |	Os |	684840 |
+|riscv64 |	Os |	684840 |
 ----------------------------
 
 # Preprocessing