End of training

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/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4737
+- Loss: 0.0122
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.509         | 1.0   | 511  | 1.3390          |
-| 1.4732        | 2.0   | 1022 | 1.2764          |
-| 1.121         | 3.0   | 1533 | 1.2965          |
-| 0.8227        | 4.0   | 2044 | 1.3762          |
-| 0.6327        | 5.0   | 2555 | 1.4737          |
+| 0.057         | 1.0   | 113  | 0.0335          |
+| 0.02          | 2.0   | 226  | 0.0249          |
+| 0.0018        | 3.0   | 339  | 0.0147          |
+| 0.0007        | 4.0   | 452  | 0.0097          |
+| 0.0001        | 5.0   | 565  | 0.0122          |
 
 
 ### Framework versions

runs/Apr13_20-19-56_8cd244d82155/events.out.tfevents.1713040967.8cd244d82155.185.1

@@ -0,0 +1,3 @@
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+oid sha256:88e1082d2d6440a9e17a66cec4234db3fcc17e7338f7bb712fe1f36d7a009169
+size 359