table

README.md

@@ -10,10 +10,10 @@ The three provided models are randomly selected from 10 that were trained and re
 ## Loading the tokenizer
 
 BabyBERTa was trained with `add_prefix_space=True`, so it will not work properly with the tokenizer defaults.
-Make sure to load the tokenizer as follows:
+For instance, to load the tokenizer for BabyBERTa-1, load it as follows:
 
 ```python
-tokenizer = RobertaTokenizerFast.from_pretrained("phueb/BabyBERTa",
+tokenizer = RobertaTokenizerFast.from_pretrained("phueb/BabyBERTa-1",
                                                  add_prefix_space=True)
 ```
 
@@ -30,7 +30,7 @@ BabyBerta was developed for learning grammatical knowledge from child-directed i
 Its grammatical knowledge was evaluated using the [Zorro](https://github.com/phueb/Zorro) test suite.
 The best model achieves an overall accuracy of 80.3, 
 comparable to RoBERTa-base, which achieves an overall accuracy of 82.6 on the latest version of Zorro (as of October, 2021).
-Both values differ slightly from those reported in the paper (Huebner et al., 2020). 
+Both values differ slightly from those reported in the [CoNLL 2021 paper](https://aclanthology.org/2021.conll-1.49/). 
 There are two reasons for this:
 1. Performance of RoBERTa-base is slightly larger because the authors previously lower-cased all words in Zorro before evaluation.
 Lower-casing of proper nouns is detrimental to RoBERTa-base because RoBERTa-base has likely been trained on proper nouns that are primarily title-cased.
@@ -38,11 +38,13 @@ In contrast, because BabyBERTa is not case-sensitive, its performance is not inf
 2. The latest version of Zorro no longer contains ambiguous content words such as "Spanish" which can be both a noun and an adjective.
  this resulted in a small reduction in the performance of BabyBERTa.
  
+Overall Accuracy on Zorro:
+ 
 | Model Name                             | Accuracy (holistic scoring)  | Accuracy (MLM-scoring) | 
 |----------------------------------------|------------------------------|------------|
 | [BabyBERTa-1][link-BabyBERTa-1]        | 80.3                         | 79.9       | 
-| [BabyBERTa-2][link-BabyBERTa-2]        | 80.3                         | 79.9       | 
-| [BabyBERTa-3][link-BabyBERTa-3]        | 80.3                         | 79.9       | 
+| [BabyBERTa-2][link-BabyBERTa-2]        | 78.6                         | 78.2       | 
+| [BabyBERTa-3][link-BabyBERTa-3]        | 74.5                         | 78.1       | 
 
 
 
@@ -56,11 +58,3 @@ More info can be found [here](https://github.com/phueb/BabyBERTa).
 [link-BabyBERTa-1]: https://huggingface.co/phueb/BabyBERTa-1
 [link-BabyBERTa-2]: https://huggingface.co/phueb/BabyBERTa-2
 [link-BabyBERTa-3]: https://huggingface.co/phueb/BabyBERTa-3
-
----
-language:
-- en
-tags:
-- child-directed-language
-- acquisition
----