Update README.md

README.md

@@ -120,7 +120,7 @@ The model was trained on a DGXH100 node with 8 GPUs on a total of 23B tokens for
 
 ### Architecture
 
-The model is composed of the [nucleotide-transformer-v2-50m-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-500m-multi-species) encoder, from which we removed 
+The model is composed of the [nucleotide-transformer-v2-500m-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-500m-multi-species) encoder, from which we removed 
 the language model head and replaced it by a 1-dimensional U-Net segmentation head [4] made of 2 downsampling convolutional blocks and 2 upsampling convolutional blocks. Each of these 
 blocks is made of 2 convolutional layers with 1, 024 and 2, 048 kernels respectively. This additional segmentation head accounts for 53 million parameters, bringing the total number of parameters
 to 562M.