Update README.md

README.md

@@ -96,7 +96,18 @@ The model was evaluated using the XNLI test sets on 15 languages: English (en),
 |Datasets|en|ar|bg|de|el|es|fr|hi|ru|sw|th|tr|ur|vi|zh|
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
 |[multilingual-e5-base-xnli](https://huggingface.co/mjwong/multilingual-e5-base-xnli)|0.849|0.768|0.803|0.800|0.792|0.809|0.805|0.738|0.782|0.728|0.756|0.766|0.713|0.787|0.785|
+|[multilingual-e5-base-xnli-anli](https://huggingface.co/mjwong/multilingual-e5-base-xnli-anli)|0.811|0.711|0.751|0.759|0.746|0.778|0.765|0.685|0.728|0.662|0.705|0.716|0.683|0.736|0.740|
 |[multilingual-e5-large-xnli](https://huggingface.co/mjwong/multilingual-e5-large-xnli)|0.867|0.791|0.832|0.825|0.823|0.837|0.824|0.778|0.806|0.749|0.787|0.793|0.738|0.813|0.808|
+|[multilingual-e5-large-xnli-anli](https://huggingface.co/mjwong/multilingual-e5-large-xnli-anli)|0.865|0.765|0.811|0.811|0.795|0.823|0.816|0.743|0.785|0.713|0.765|0.774|0.706|0.788|0.787|
+
+The model was also evaluated using the dev sets for MultiNLI and test sets for ANLI. The metric used is accuracy.
+
+|Datasets|mnli_dev_m|mnli_dev_mm|anli_test_r1|anli_test_r2|anli_test_r3|
+| :---: | :---: | :---: | :---: | :---: | :---: |
+|[multilingual-e5-base-xnli](https://huggingface.co/mjwong/multilingual-e5-base-xnli)|0.835|0.837|0.287|0.276|0.301|
+|[multilingual-e5-base-xnli-anli](https://huggingface.co/mjwong/multilingual-e5-base-xnli-anli)|0.814|0.811|0.588|0.437|0.439|
+|[multilingual-e5-large-xnli](https://huggingface.co/mjwong/multilingual-e5-large-xnli)|0.865|0.865|0.312|0.316|0.300|
+|[multilingual-e5-large-xnli-anli](https://huggingface.co/mjwong/multilingual-e5-large-xnli-anli)|0.863|0.863|0.623|0.456|0.455|
 
 ### Training hyperparameters