Update README.md

README.md

@@ -72,7 +72,7 @@ Figure 4: Test perplexity over the course of training for vocabulary swap (swapp
 
 We also verify that finetuning from English to Czech is beneficial for MPT-7B model, compared from training a new model, at least on the first 10K steps. The training also seems to be more stable (notice yellow spike around 10k steps).
 <img src="figures/csmpt_tllama_test.png" width="900"/>
-Figure 5: Test cross-entropy over the course of training on CSMPT7B (yellow-red). Comparison with TinyLLAMA (blue-green). Our method (red&green curve) vs TinyLLAMA training from scratch (yellow&blue curve).
+Figure 5: Test cross-entropy over the course of training on CSMPT7B (yellow-red). Comparison with TinyLLAMA (blue-green). Our method (red&green curve) vs training from scratch (yellow&blue curve).
 
 The vocabulary swap was done the same way as our [Czech-GPT-2](https://huggingface.co/BUT-FIT/Czech-GPT-2-XL-133k) model (check it out for comprehensive description.)
 For CSMPT7b, we managed to align 4,177 english tokens with corresponding czech tokens.