Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: mistralai/Mistral-7B-Instruct-v0.1
 datasets:
-- generator
+- theoldmandthesea/17k_business_book
 library_name: peft
 license: apache-2.0
 tags:
@@ -9,33 +9,38 @@ tags:
 - sft
 - generated_from_trainer
 model-index:
-- name: business_mistral-v2.0
+- name: business_mistral-v1.0
   results: []
+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. -->
 
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/vjayram-enag-pes-university/huggingface/runs/u8906alp)
-# business_mistral-v2.0
+# Mistral 7B Fine-Tuned for Business
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the [theoldmandthesea/17k_business_book](https://huggingface.co/datasets/theoldmandthesea/17k_business_book) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5729
 
 ## Model description
 
-More information needed
+- Base Model: [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
+- Quantization: 4 Bit
+- Tokenizer: [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
 
 ## Intended uses & limitations
 
-More information needed
+Mainly intended to be used at the backend of a chatbot application meant to assist children and teenager with knowledge of business and finances.
 
 ## Training and evaluation data
 
-More information needed
-
-## Training procedure
+- Total number of samples: 17480
+- 
+- Number of Training Samples: 13984
+- Number of Validation / Test Samples: 3496
 
 ### Training hyperparameters