Update README.md

README.md

@@ -72,6 +72,23 @@ It achieves the following results on the evaluation set:
 
 KI dataset
 
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+
+`hf-causal-experimental (pretrained=BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI,revision=main,trust_remote_code=True,dtype='float'), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8`
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+|     Task     |Version| Metric | Value |   |Stderr|
+|--------------|------:|--------|------:|---|-----:|
+|arc_easy      |      0|acc     | 0.4322|±  |0.0102|
+|              |       |acc_norm| 0.3960|±  |0.0100|
+|boolq         |      1|acc     | 0.6196|±  |0.0085|
+|lambada_openai|      0|ppl     |61.6595|±  |2.4362|
+|              |       |acc     | 0.2779|±  |0.0062|
+|openbookqa    |      0|acc     | 0.1540|±  |0.0162|
+|              |       |acc_norm| 0.2840|±  |0.0202|
+|piqa          |      0|acc     | 0.6028|±  |0.0114|
+|              |       |acc_norm| 0.6028|±  |0.0114|
+|winogrande    |      0|acc     | 0.5193|±  |0.0140|
+
 ## Training procedure
 
 ### Training hyperparameters