Update README.md

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile
 tags:
 - generated_from_trainer
+- smol_llama
+- llama2
 metrics:
 - accuracy
 inference:
@@ -12,7 +14,7 @@ inference:
     temperature: 0.8
     repetition_penalty: 1.15
     no_repeat_ngram_size: 4
-    eta_cutoff: 0.0006
+    eta_cutoff: 0.0008
     renormalize_logits: true
 widget:
   - text: My name is El Microondas the Wise and
@@ -57,24 +59,18 @@ pipeline_tag: text-generation
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# NanoLlama-GQA-L10-A32_KV8-v12-minipile-knowledge-inoc-concat-v1-2048-vN
+# BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+
+> note that training still WIP
 
 This model is a fine-tuned version of [BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile](https://huggingface.co/BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v12-minipile) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.5937
 - Accuracy: 0.4948
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
 ## Training and evaluation data
 
-More information needed
+KI dataset
 
 ## Training procedure