Update README.md

README.md

@@ -23,23 +23,26 @@ should probably proofread and complete it, then remove this comment. -->
 
 # iva_mt_wslot-m2m100_418M-0.1.0 en-pl
 
-This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the [iva_mt_wslot](https://huggingface.co/datasets/cartesinus/iva_mt_wslot) dataset.
+This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the
+[iva_mt_wslot](https://huggingface.co/datasets/cartesinus/iva_mt_wslot) dataset. It achieves the following results:
 
-
-It achieves the following results:
 1) On the test set (iva_mt):
 - BLEU (plain text): 39.1560
 - BLEU (with slots): 63.8767
-- BLEU for baseline m2m100-418M (plain text): TBD
+- F1 score: (in preparation)
+
+For reference BLEU for baseline m2m100-418M (plain text) was 21.9468. Second result (63.8767) is when tags are treated as "normal" words in sentence. Therefore that result 
+might be a bit misleading. Please refer to plain text results if you are not sure how to interpret them.
 
 2) WMT20 (en2pl):
-- BLEU (lowercased, tags removed): 15.0863 (for reference WMT20 submission systems in en-pl direction had between 25 and 30 bleu)
+- BLEU (lowercased, tags removed): 15.0863
 - BLEU for baseline m2m100-418M (plain text): 20.2750
+
+For reference WMT20 submission systems in en-pl direction had between 25 and 30 BLEU
    
-4) On the evaluation set:
-- BLEU: 61.6249
+3) BLEU on the evaluation set (same as in below table 'Training results'): 61.6249
 
-3) On the training set (to see how it adjusted to train):
+4) On the training set (to see how it adjusted to train):
 - BLEU (plain text): 70.5597
 - BLEU (with slots): 93.8200