ymath/mistral-7binstruct-summary-100s

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4702
+- Loss: 1.5578
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.7386        | 0.2174 | 25   | 1.5446          |
-| 1.5686        | 0.4348 | 50   | 1.4702          |
+| 1.7418        | 0.0146 | 25   | 1.6358          |
+| 1.5434        | 0.0292 | 50   | 1.5578          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 27280152

training_args.bin

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 size 4984