Model save

README.md

@@ -19,15 +19,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9479
-- Rewards/chosen: -46.2475
-- Rewards/rejected: -47.8884
-- Rewards/accuracies: 0.6453
-- Rewards/margins: 1.6409
-- Logps/rejected: -4.7888
-- Logps/chosen: -4.6247
-- Logits/rejected: 14.7121
-- Logits/chosen: 14.4778
+- Loss: 3.9424
+- Rewards/chosen: -46.0706
+- Rewards/rejected: -47.7080
+- Rewards/accuracies: 0.6460
+- Rewards/margins: 1.6374
+- Logps/rejected: -4.7708
+- Logps/chosen: -4.6071
+- Logits/rejected: 14.6998
+- Logits/chosen: 14.4715
 
 ## Model description
 
@@ -64,7 +64,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
 |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 3.9886        | 1.0   | 7344 | 3.9479          | -46.2475       | -47.8884         | 0.6453             | 1.6409          | -4.7888        | -4.6247      | 14.7121         | 14.4778       |
+| 3.9729        | 1.0   | 7344 | 3.9424          | -46.0706       | -47.7080         | 0.6460             | 1.6374          | -4.7708        | -4.6071      | 14.6998         | 14.4715       |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e1f4825f5d1388d21a8a2d85147a0ebc4c0570c570de30fa1d1be1892276bbf9
-size 7160
+oid sha256:641616904753fc7e9538ed462d34fea8a95e372b8ff1bfb5e7bd6ba6149437b9
+size 7096