Update README.md

README.md

@@ -11,10 +11,11 @@ datasets:
 
 # ModernBERT2gpt2-700m baseline
 
-EncoderDecoder created from modernBERT-large and random-init `gpt2` trained on the pszemraj/t2t-re_pretrain-small dataset for one epoch as a "baseline"
+EncoderDecoder created from modernBERT-large and random-init `gpt2` trained on the pszemraj/t2t-re_pretrain-small dataset for one epoch as a "baseline". Logs and training script can be found [on wandb](https://wandb.ai/pszemraj/enc-dec-modernbert-olmo/runs/xpg9wjco)
 
 - input context length 2048
 - output context length 512
+- single tokenizer, slighly modified from modernBERT
 
 It achieves the following results on the evaluation set:
 - Loss: 2.2113