Updated tasks

README.md

@@ -142,7 +142,8 @@ For the Finetuning task, we both filter and sample down to a maximum 10 000 trai
 - **EWoK**: Works similarly to BLiMP but looks the model's internal world knowledge. Looking at both whter a model has physical and social knowledge. (Ivanova et al., 2024)
 - **Eye Tracking and Self-paced Reading**: Looks at whether the model can mimick the eye tracking and reading time of a human but using surprisal of a word as a proxy for time spent reading a word. (de Varda et al., BRM 2024)
 - **Entity Tracking**: Checks whether a model can keep track of the changes to the states of entities as text/dialogue unfolds. (Kim & Schuster, ACL 2023)
-- **WUGs**: Tests morphological generalization in LMs through an adjective nominalization task. (Hofmann et al., 2024)
+- **WUGs**: Tests morphological generalization in LMs through an adjective nominalization and past tense task. (Hofmann et al., 2024) (Weissweiler et al., 2023)
+- **COMPS**: Property knowledge. (Misra et al., 2023)
 
 *Finetuning Tasks*
 
@@ -175,16 +176,16 @@ The metrics were chosen based on the advice of the papers the tasks come from.
 
 **TODO: UPDATE**
 
-| Hyperparameter | MNLI, RTE, QQP, MRPC | BoolQ, MultiRC | WSC |
+| Hyperparameter | MNLI, RTE, QQP, MRPC, BoolQ, MultiRC | WSC |
 | --- | --- | --- | --- |
-| Learning Rate | 3\*10<sup>-5</sup> | 3\*10<sup>-5</sup> | 3\*10<sup>-5</sup> |
-| Batch Size | 32 | 16 | 32 |
-| Epochs | 10 | 10 | 30 |
-| Weight decay | 0.01 | 0.01 | 0.01 |
-| Optimizer | AdamW | AdamW | AdamW |
-| Scheduler | cosine | cosine | cosine |
-| Warmup percentage | 6% | 6% | 6% |
-| Dropout | 0.1 | 0.1 | 0.1 |
+| Learning Rate | 3\*10<sup>-5</sup> | 3\*10<sup>-5</sup> |
+| Batch Size | 16 | 16 |
+| Epochs | 10 | 30 |
+| Weight decay | 0.01  | 0.01 |
+| Optimizer | AdamW | AdamW |
+| Scheduler | cosine | cosine |
+| Warmup percentage | 6% | 6% |
+| Dropout | 0.1 | 0.1 |
 
 ## Results 
 
@@ -231,7 +232,7 @@ The model took 2.5 hours to train and consumed 755 core hours (with 4 GPUs and 3
 # Citation
 
 ```latex
-@misc{charpentier2025babylmturns3papers,
+@misc{MayerMartinsBKB2025,
       title={ToDo}, 
       author={Jonas Mayer Martins, Ali Hamza Bashir, Muhammad Rehan Khalid, Lisa Beinborn},
       year={2025},