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: 1.6001
+- Loss: 1.5886
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 2.0597          |
-| 2.6885        | 2.0   | 600  | 1.5707          |
-| 2.6885        | 3.0   | 900  | 1.5487          |
-| 1.1894        | 4.0   | 1200 | 1.5309          |
-| 0.8365        | 5.0   | 1500 | 1.6001          |
+| No log        | 1.0   | 300  | 2.0386          |
+| 2.5809        | 2.0   | 600  | 1.6135          |
+| 2.5809        | 3.0   | 900  | 1.5064          |
+| 1.1883        | 4.0   | 1200 | 1.5604          |
+| 0.8042        | 5.0   | 1500 | 1.5886          |
 
 
 ### Framework versions

runs/Mar28_22-00-25_Asus/events.out.tfevents.1711663227.Asus.19612.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6148
+oid sha256:d7983f0a8e66ae3def630322687b605444b724f257aebd83b8f37acc9044bd75
+size 6773