Update README.md

README.md

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 This lora was trained on 250k post and response pairs from 43 different fincial, investing, and crypto subreddits. It is not an instruct model, it is designed to generate a reply to a reddit text post. It was an experiment in fine tuning for specific tasks. **Use it responsibly**
 
-* Training code will be released soon.
-* Dataset and tools for building the dataset will be released soon.
+* Training, dataset and tools available here: <https://github.com/getorca/ProfitsBot_V0_OLLM>
 
 ## Training Details
 
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 * 1 note worthy change I will mention now, is this was trained with casualLM rather than seq2seq like a number of the other instruct models have been. I can't explain why they used seq2seq for data collators, other than that's what alpaca lora originally used. Llama as a generative model was trained for casualLM so to me it makes sense to use that when fine tuning.
 
-* More coming soon. 
+training code is availble here: <https://github.com/getorca/ProfitsBot_V0_OLLM/tree/main/training>
 
 ### Training Hyperparams
 
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 | crypto_currency       | 186   | 0.694596            | 1.101901           | 0.026738           |
 | StocksAndTrading      | 93    | 0.184637            | 1.704545           | 0.019066           |
 
-* to be released soon along with code to recreate it
+the dataset is available here: <https://huggingface.co/datasets/winddude/reddit_finance_43_250k>
+
+code for recreating the dataset is here: <https://github.com/getorca/ProfitsBot_V0_OLLM/tree/main/ds_builder>
 
 
 ## Usage