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: 1.5221
+- Loss: 1.4930
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 2.1407          |
-| 2.7542        | 2.0   | 600  | 1.5523          |
-| 2.7542        | 3.0   | 900  | 1.4745          |
-| 1.2751        | 4.0   | 1200 | 1.4890          |
-| 0.8489        | 5.0   | 1500 | 1.5221          |
+| No log        | 1.0   | 300  | 2.0673          |
+| 2.7111        | 2.0   | 600  | 1.5159          |
+| 2.7111        | 3.0   | 900  | 1.4630          |
+| 1.2327        | 4.0   | 1200 | 1.4534          |
+| 0.8496        | 5.0   | 1500 | 1.4930          |
 
 
 ### Framework versions

runs/Jul02_12-43-52_Asus/events.out.tfevents.1719920634.Asus.5096.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:304587ade72b96bcddfde57f219e27d4fe02872854ecae1c67c541c6742ca2a0
-size 6157
+oid sha256:b3c808cf4953787d15bb5559154389c45505fae00c318d8ae0729e3c01468a8a
+size 6782