Model save

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/codegemma-7b](https://huggingface.co/google/codegemma-7b) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0762
+- Loss: 0.0737
 
 ## Model description
 
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 5
+- num_epochs: 7
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -144,10 +144,47 @@ The following hyperparameters were used during training:
 | 0.0766        | 4.6672 | 4400 | 0.0765          |
 | 0.0671        | 4.7202 | 4450 | 0.0764          |
 | 0.0651        | 4.7733 | 4500 | 0.0762          |
-| 0.0621        | 4.8263 | 4550 | 0.0762          |
-| 0.0638        | 4.8793 | 4600 | 0.0762          |
-| 0.0727        | 4.9324 | 4650 | 0.0762          |
-| 0.059         | 4.9854 | 4700 | 0.0762          |
+| 0.0733        | 4.8295 | 4550 | 0.0750          |
+| 0.0802        | 4.8825 | 4600 | 0.0749          |
+| 0.0864        | 4.9356 | 4650 | 0.0748          |
+| 0.0762        | 4.9886 | 4700 | 0.0747          |
+| 0.0921        | 5.0416 | 4750 | 0.0747          |
+| 0.0769        | 5.0947 | 4800 | 0.0747          |
+| 0.0785        | 5.1477 | 4850 | 0.0746          |
+| 0.0772        | 5.2007 | 4900 | 0.0745          |
+| 0.0783        | 5.2538 | 4950 | 0.0745          |
+| 0.0741        | 5.3068 | 5000 | 0.0745          |
+| 0.08          | 5.3599 | 5050 | 0.0744          |
+| 0.0813        | 5.4129 | 5100 | 0.0744          |
+| 0.0764        | 5.4659 | 5150 | 0.0744          |
+| 0.0752        | 5.5190 | 5200 | 0.0743          |
+| 0.0778        | 5.5720 | 5250 | 0.0743          |
+| 0.0813        | 5.6250 | 5300 | 0.0743          |
+| 0.0701        | 5.6781 | 5350 | 0.0743          |
+| 0.071         | 5.7311 | 5400 | 0.0742          |
+| 0.0764        | 5.7841 | 5450 | 0.0742          |
+| 0.0846        | 5.8372 | 5500 | 0.0742          |
+| 0.0738        | 5.8902 | 5550 | 0.0742          |
+| 0.0748        | 5.9433 | 5600 | 0.0741          |
+| 0.0781        | 5.9963 | 5650 | 0.0741          |
+| 0.0739        | 6.0493 | 5700 | 0.0741          |
+| 0.069         | 6.1024 | 5750 | 0.0741          |
+| 0.08          | 6.1554 | 5800 | 0.0741          |
+| 0.0737        | 6.2084 | 5850 | 0.0740          |
+| 0.075         | 6.2615 | 5900 | 0.0740          |
+| 0.0752        | 6.3145 | 5950 | 0.0740          |
+| 0.0859        | 6.3675 | 6000 | 0.0739          |
+| 0.0872        | 6.4206 | 6050 | 0.0739          |
+| 0.0768        | 6.4736 | 6100 | 0.0739          |
+| 0.0742        | 6.5267 | 6150 | 0.0739          |
+| 0.0779        | 6.5797 | 6200 | 0.0739          |
+| 0.072         | 6.6327 | 6250 | 0.0739          |
+| 0.0717        | 6.6858 | 6300 | 0.0738          |
+| 0.0735        | 6.7388 | 6350 | 0.0738          |
+| 0.0787        | 6.7918 | 6400 | 0.0738          |
+| 0.0792        | 6.8449 | 6450 | 0.0738          |
+| 0.0743        | 6.8979 | 6500 | 0.0737          |
+| 0.074         | 6.9509 | 6550 | 0.0737          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c7016ce49bc4fb6b1f699561d1891a56b6833a0bcec08b5d90853b6c3e9846c
+oid sha256:8fd3e303f9ed535d6b4de69bf438962a4bf013a0b00ff8a7883a4e0699d74d61
 size 4745934024

runs/Sep13_17-28-28_m3h110/events.out.tfevents.1757748882.m3h110.591035.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2929704e35ebbe326a6a5e1147e4c72d39c603287ee6a01b35de192fa2410bc8
-size 60617
+oid sha256:ace62e14a66be2003dbf3822246c4a955f38d911974af4ada9fb4de109f08ea2
+size 60971