Mistral-7B-Medical-Finetune_QA_Choices_V2

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0000
+- Loss: 0.6574
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.9113        | 0.2   | 300  | 0.0000          |
-| 0.0           | 0.39  | 600  | 0.0000          |
-| 0.0           | 0.59  | 900  | 0.0000          |
-| 0.0           | 0.78  | 1200 | 0.0000          |
-| 0.0           | 0.98  | 1500 | 0.0000          |
+| 0.7911        | 0.2   | 300  | 0.7404          |
+| 0.7311        | 0.39  | 600  | 0.7118          |
+| 0.7015        | 0.59  | 900  | 0.6815          |
+| 0.6824        | 0.78  | 1200 | 0.6623          |
+| 0.6686        | 0.98  | 1500 | 0.6574          |
 
 
 ### Framework versions