Model save

README.md

@@ -1,7 +1,5 @@
 ---
 base_model: mistralai/Mistral-7B-Instruct-v0.3
-datasets:
-- generator
 library_name: peft
 license: apache-2.0
 tags:
@@ -18,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Mistral-7B-3
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the generator dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0348
+- Loss: 0.0596
 
 ## Model description
 
@@ -55,7 +53,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.5391        | 1.51  | 10   | 0.0348          |
+| 0.5257        | 1.48  | 10   | 0.0596          |
 
 
 ### Framework versions

runs/Jan29_10-17-24_ip-172-31-10-206.us-east-2.compute.internal/events.out.tfevents.1738145853.ip-172-31-10-206.us-east-2.compute.internal.76151.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d902fec00a16f1dfaba046756a938b169efdfaa708d65aa076abb9e2eeda001c
-size 5512
+oid sha256:d331bb04c698aa527bbfc4b7f094c761f9afec374b7a305959a3705ee068e59c
+size 5860