Update README.md

README.md

@@ -4,16 +4,19 @@ base_model: mistralai/Mistral-7B-v0.1
 tags:
 - generated_from_trainer
 model-index:
-- name: mistral-7b-ift-v12.2
+- name: mistral-7b-sft-ultrachat-arithmo-25
   results: []
+datasets:
+- stingning/ultrachat
+- akjindal53244/Arithmo-Data
 ---
 
 <!-- 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. -->
 
-# mistral-7b-ift-v12.2
+# mistral-7b-sft-ultrachat-arithmo-25
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrachat_uncensored_truecase_i_dont and the HuggingFaceH4/arithmo datasets.
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the UltraChat and Arithmo (25%) datasets.
 It achieves the following results on the evaluation set:
 - Loss: 0.8943
 
@@ -60,4 +63,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.0.dev0
 - Pytorch 2.0.1+cu118
 - Datasets 2.12.0
-- Tokenizers 0.14.0
+- Tokenizers 0.14.0