Update README.md

README.md

@@ -70,17 +70,26 @@ It achieves the following results on the evaluation set:
 - Loss: 3.7502
 - Accuracy: 0.3650
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+## eval
+
+initial 'get the feet wet':
+
+`hf-causal-experimental (pretrained=pszemraj/mega-ar-small-4096-sw_minipile,revision=main,trust_remote_code=True,dtype='float'), limit: None, provide_description: False, num_fewshot: 0, batch_size: 16`
+
+|     Task     |Version| Metric |  Value  |   | Stderr |
+|--------------|------:|--------|--------:|---|-------:|
+|arc_easy      |      0|acc     |   0.3173|±  |  0.0096|
+|              |       |acc_norm|   0.3022|±  |  0.0094|
+|boolq         |      1|acc     |   0.4107|±  |  0.0086|
+|lambada_openai|      0|ppl     |6843.1824|±  |295.0792|
+|              |       |acc     |   0.0155|±  |  0.0017|
+|openbookqa    |      0|acc     |   0.1220|±  |  0.0147|
+|              |       |acc_norm|   0.2480|±  |  0.0193|
+|piqa          |      0|acc     |   0.5609|±  |  0.0116|
+|              |       |acc_norm|   0.5566|±  |  0.0116|
+|winogrande    |      0|acc     |   0.5059|±  |  0.0141|
+
+still some ways to go.
 
 ## Training procedure