vgkienzler/mistral-7binstruct-summary-100s

README.md

@@ -20,7 +20,7 @@ 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: 1.4714
+- Loss: 1.4695
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7273        | 0.22  | 25   | 1.5529          |
-| 1.4993        | 0.43  | 50   | 1.4714          |
+| 1.6531        | 0.22  | 25   | 1.5586          |
+| 1.5528        | 0.43  | 50   | 1.4695          |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 27280152

runs/Mar06_13-41-02_6da113adebc7/events.out.tfevents.1709732478.6da113adebc7.1896.0

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+size 6966

training_args.bin

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