Updated README and model

README.md

@@ -25,6 +25,19 @@ license: agpl-3.0
 
 # ScandiBERT
 
+Note note: The model has been updated on 2022-09-27
+
+The model was trained on the data shown in the table below. Batch size was 8.8k, the model was trained for 72 epochs on 24 V100 cards for about 2 weeks.
+
+| Language  | Data                                  | Size   |
+|-----------|---------------------------------------|--------|
+| Icelandic | See IceBERT paper                     | 16 GB  |
+| Danish    | Danish Gigaword Corpus (incl Twitter) | 4,7 GB |
+| Norwegian | NCC corpus                            | 42 GB  |
+| Swedish   | Swedish Gigaword Corpus               | 3,4 GB |
+| Faroese   | FC3 + Sosialurinn + Bible             | 69 MB  |
+
+
 Note: At an earlier date a half trained model went up here, it has since been removed. The model has since been updated.
 
 This is a Scandinavian BERT model trained on a large collection of Danish, Faroese, Icelandic, Norwegian and Swedish text. It is currently the highest ranking model on the ScandEval leaderbord https://scandeval.github.io/pretrained/

pytorch_model.bin

@@ -1,3 +1,3 @@
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