Update README.md

README.md

@@ -122,7 +122,9 @@ Please see [the BLOOM training README](https://github.com/bigscience-workshop/bi
 
 * ALiBI positional encodings (see [paper](https://arxiv.org/pdf/2108.12409.pdf)), with GeLU activation functions
 
-* 760 million parameters:
+* 1,065,314,304 parameters:
+
+    * 385,351,680 embedding parameters
 
     * 24 layers, 16 attention heads
 
@@ -166,27 +168,17 @@ Please see [the BLOOM training README](https://github.com/bigscience-workshop/bi
 #### **Training**
 
  
-_In progress._
-
-Current training logs: [Tensorboard link](https://huggingface.co/tensorboard/bigscience/tr11-176B-ml-logs/)
-
-- Checkpoint size:
-    
-    - Bf16 weights: 329GB
-    
-    - Full checkpoint with optimizer states: 2.3TB
-
-- Training throughput: About 150 TFLOP per GPU per second
+Training logs: [Tensorboard link](https://huggingface.co/tensorboard/bigscience/tr11d-760M-logs)
 
-- Number of epochs: 1 (*current target*)
+- Number of epochs: 1
 
 - Dates:
     
     - Started 11th March, 2022 11:42am PST
 
-    - Estimated end: 5th July, 2022
+    - Ended 5th July, 2022
 
-- Estimated cost of training: Equivalent of $2-5M in cloud computing (including preliminary experiments)
+- Estimated cost of training: Equivalent of $2-5M in cloud computing (including preliminary experiments and other model sizes)
 
 - Server training location: Île-de-France, France