Model save

README.md

@@ -19,8 +19,8 @@ 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: 1.0029
-- Accuracy: 0.8635
+- Loss: 1.0930
+- Accuracy: 0.8659
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5233        | 1.0   | 1696 | 0.8598          | 0.8635   |
-| 0.1313        | 2.0   | 3392 | 0.9778          | 0.8588   |
-| 0.0246        | 3.0   | 5088 | 1.0029          | 0.8635   |
+| 0.4859        | 1.0   | 1696 | 0.9486          | 0.8541   |
+| 0.1289        | 2.0   | 3392 | 1.0216          | 0.8588   |
+| 0.0048        | 3.0   | 5088 | 1.0930          | 0.8659   |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 13681304

training_args.bin

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 size 4984