Update README.md

README.md

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 ---
-license: apache-2.0
+datasets:
+- ewof/code-alpaca-instruct-unfiltered
+library_name: peft
+tags:
+- gpt-j
+- gpt-j-6b
+- code
+- instruct
+- instruct-code
+- code-alpaca
+- alpaca-instruct
+- alpaca
+- llama7b
+- gpt2
+---
+
+We finetuned GPT-J 6B on Code-Alpaca-Instruct Dataset (ewof/code-alpaca-instruct-unfiltered) for 5 epochs or ~ 25,000 steps using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).
+
+This dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment. 
+
+The finetuning session got completed in 206 minutes and costed us only `$8` for the entire finetuning run!
+
+#### Hyperparameters & Run details:
+- Model Path: EleutherAI/gpt-j-6b
+- Dataset: ewof/code-alpaca-instruct-unfiltered
+- Learning rate: 0.0003
+- Number of epochs: 5
+- Data split: Training: 90% / Validation: 10%
+- Gradient accumulation steps: 1
+
+Loss metrics:
+![training loss](train-loss.png "Training loss")
+
 ---
+license: apache-2.0
+---