Update README.md

README.md

@@ -65,10 +65,10 @@ We collect benchmark results of throughput (images/sec) for
 
 We run 100 iterations for each set of parameters.
 - Observation 1: when batch_size is small (1, 2, 4, 8), throughput_amp ≈ throughput_tf32;  
-when batch_size is large (16, 32, 64, 128), throughput_amp > throughput_tf32.
+when batch_size is large (16, 32, 64, 128), throughput_amp > throughput_tf32.  
 
 <!-- ![Alt text](benchmark_throughput_example.png | width=100 "Title") -->
-<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/benchmark_throughput_example.png" width="500">
+<img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/benchmark_throughput_example.png" width="400">
 
 - Observation 2: The coefficient of variation of throughput for the 100 iterations is smallest when batch_size = 128.