Update README.md

README.md

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 ---
 library_name: peft
+datasets:
+- databricks/databricks-dolly-15k
+tags:
+- mistral
+- databricks
+- dolly
+- mistral 7b
+- llama
+- finetune
+- finetuning
 ---
 ## Training procedure
 
+We finetuned [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) Dataset for 1 epoch using [MonsterAPI](https://monsterapi.ai/) no-code [LLM finetuner](https://monsterapi.ai/finetuning).
+
+## Finetuning with MonsterAPI no-code LLM Finetuner in 5 easy steps:
+1. **Select an LLM:** Mistral 7B v0.1
+2. **Select a task and Dataset:** Instruction Finetuning and databricks-dolly-15k Dataset
+3. **Specify Hyperparameters:** We used default values suggested by finetuner
+4. **Review and submit the job:** That's it!
+
+
+### Hyperparameters & Run details:
+- Model: mistralai/Mistral-7B-v0.1
+- Dataset: databricks/databricks-dolly-15k
+- Learning rate: 0.0002
+- Number of epochs: 1
+- Cutoff length: 512
+- Data split: Training: 95% / Validation: 5%
+- Gradient accumulation steps: 1
+
+### About Model:
+The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on majority of the benchmarks as tested by Mistral team.
+
+### About Dataset:
+databricks-dolly-15k is a corpus of more than 15,000 records generated by thousands of Databricks employees to enable large language models to exhibit the magical interactivity of ChatGPT.
+
 ### Framework versions
 
 
-- PEFT 0.5.0
+- PEFT 0.5.0