Update README.md

README.md

@@ -2,31 +2,35 @@
 tags:
 - generated_from_trainer
 model-index:
-- name: lora-out
+- name: no_robots-alpaca
   results: []
+license: cc-by-nc-4.0
 ---
 
 <!-- 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. -->
 
 [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-# lora-out
+# no_robots-alpaca
 
-This model was trained from scratch on the None dataset.
+This lora was trained from scratch with the [Doctor-Shotgun/no-robots-sharegpt](https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt) dataset on [https://huggingface.co/TheBloke/Llama-2-13B-fp16](TheBloke/Llama-2-13B-fp16).
 It achieves the following results on the evaluation set:
 - Loss: 1.6087
 
 ## Model description
 
-More information needed
+The LoRA was trained from the [Doctor-Shotgun/no-robots-sharegpt](https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt), a ShareGPT converted dataset from the OG [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) but with Alpaca prompting. 
 
-## Intended uses & limitations
+## Prompt template: Alpaca
 
-More information needed
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
 
-## Training and evaluation data
+### Instruction:
+{prompt}
+
+### Response:
 
-More information needed
 
 ## Training procedure
 
@@ -74,3 +78,5 @@ The following hyperparameters were used during training:
 - Pytorch 2.0.1+cu117
 - Datasets 2.14.6
 - Tokenizers 0.14.1
+
+If you want to support me, you can [here](https://ko-fi.com/undiai).