End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5637
+- Loss: 1.5514
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 2.0506          |
-| 2.7411        | 2.0   | 600  | 1.5706          |
-| 2.7411        | 3.0   | 900  | 1.5070          |
-| 1.23          | 4.0   | 1200 | 1.5304          |
-| 0.8746        | 5.0   | 1500 | 1.5637          |
+| No log        | 1.0   | 300  | 2.0564          |
+| 2.6396        | 2.0   | 600  | 1.5725          |
+| 2.6396        | 3.0   | 900  | 1.4848          |
+| 1.2192        | 4.0   | 1200 | 1.5416          |
+| 0.829         | 5.0   | 1500 | 1.5514          |
 
 
 ### Framework versions

runs/Jul08_22-29-43_Asus/events.out.tfevents.1720474185.Asus.18032.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4ff202ab3c5038245ca3a14647600db45afdea337fdc49831ba5a5fecd3b9da
-size 6157
+oid sha256:513e34d586bf84db33232e0c18a62103940bc01234a550c19c6cdd493ebbc7b7
+size 6782