Create README.md

README.md

@@ -0,0 +1,22 @@
+---
+license: apache-2.0
+---
+| Model Name | Parameters | Class | Ratio | Tokens | Batch Size (Tokens) | Training Loss | 
+| --- | --- | --- | --- | --- |  --- |  --- | 
+| GerbilLab/GerbilBlender-A-3.3m | 3.3m | A-Class | 20 | 60M | 65.5k | 6.7417 |
+
+"Blender" models, inspired by UL2 pretraining, are trained equally in fill-in-the-middle, causal modelling, and masked language modelling tasks. Special tokens for these models include:
+
+```
+'<fitm_start>', '<multiple_tok_mask>', '<fitm_result>', '<causal>', '<mlm_start>', '<single_tok_mask>', '<mlm_end>'
+
+# Example fill in the middle
+'<fitm_start> this is an <multiple_tok_mask> for fill-in-the-middle <fitm_result> example text <|endoftext|>'
+
+# Example causal language modelling
+'<causal> this is an example text for causal language modelling <|endoftext|>'
+
+# Example masked language modelling
+'<mlm_start> this is an <single_tok_mask> text for masked language modelling <mlm_end> example <|endoftext|>'
+
+```