Update README.md

README.md

@@ -5,15 +5,56 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
-model-index:
-- name: smol_llama-220M-GQA-bees-internal-2048-vN
-  results: []
+inference:
+  parameters:
+    max_new_tokens: 64
+    do_sample: true
+    renormalize_logits: true
+    repetition_penalty: 1.05
+    no_repeat_ngram_size: 6
+    temperature: 0.9
+    top_p: 0.95
+    epsilon_cutoff: 0.0008
+widget:
+- text: In beekeeping, the term "queen excluder" refers to
+  example_title: Queen Excluder
+- text: One way to encourage a honey bee colony to produce more honey is by
+  example_title: Increasing Honey Production
+- text: The lifecycle of a worker bee consists of several stages, starting with
+  example_title: Lifecycle of a Worker Bee
+- text: Varroa destructor is a type of mite that
+  example_title: Varroa Destructor
+- text: In the world of beekeeping, the acronym PPE stands for
+  example_title: Beekeeping PPE
+- text: The term "robbing" in beekeeping refers to the act of
+  example_title: Robbing in Beekeeping
+- text: |-
+    Question: What's the primary function of drone bees in a hive?
+    Answer:
+  example_title: Role of Drone Bees
+- text: To harvest honey from a hive, beekeepers often use a device known as a
+  example_title: Honey Harvesting Device
+- text: >-
+    Problem: You have a hive that produces 60 pounds of honey per year. You
+    decide to split the hive into two. Assuming each hive now produces at a 70%
+    rate compared to before, how much honey will you get from both hives next
+    year?
+
+    To calculate
+  example_title: Beekeeping Math Problem
+- text: In beekeeping, "swarming" is the process where
+  example_title: Swarming
+pipeline_tag: text-generation
+datasets:
+- BEE-spoke-data/bees-internal
+language:
+- en
 ---
 
 <!-- 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. -->
 
-# smol_llama-220M-GQA-bees-internal-2048-vN
+# smol_llama-220M-bees-internal
 
 This model is a fine-tuned version of [BEE-spoke-data/smol_llama-220M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA) on the None dataset.
 It achieves the following results on the evaluation set:
@@ -79,4 +120,4 @@ The following hyperparameters were used during training:
 - Transformers 4.36.2
 - Pytorch 2.1.0
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0