Update README.md

README.md

@@ -43,7 +43,7 @@ This version is trained with `colpali-engine==0.3.7`.
 We train models  use low-rank adapters ([LoRA](https://arxiv.org/abs/2106.09685)) 
 with `alpha=128`  and `r=128` on the transformer layers from the language model, 
 as well as the final randomly initialized projection layer, and use a `paged_adamw_8bit` optimizer. 
-We train on an 4xA100 GPU setup with distributed data parallelism (via accelerate), a learning rate of 2e-4 with linear decay with 1% warmup steps, batch size per device is 32, gradient accumulation steps are 2, in `bfloat16` format
+We train on an 8xA100 GPU setup with distributed data parallelism (via accelerate), a learning rate of 2e-4 with linear decay with 1% warmup steps, batch size per device is 32, gradient accumulation steps are 2, in `bfloat16` format
 
 ## Installation