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: 1.6354
+- Loss: 1.4334
 
 ## Model description
 
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 2.1615          |
-| 2.7408        | 2.0   | 600  | 1.7034          |
-| 2.7408        | 3.0   | 900  | 1.6354          |
+| No log        | 1.0   | 300  | 1.8635          |
+| 2.6754        | 2.0   | 600  | 1.4835          |
+| 2.6754        | 3.0   | 900  | 1.4334          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ecc907012398fdde73ab4f6a23273c13bb756f8e106a1a08a2a07249f9f21e9
+oid sha256:ed56bfbc55000568dd0c079e0e774b865e80d8a0e5239cc95f19a9a8039741d1
 size 265470032

runs/Apr06_09-44-11_Asus/events.out.tfevents.1712393051.Asus.1928.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45fa8b6755a246a28804620757af098823427effd3edbe5c3e4d33f9472948b1
-size 4922
+oid sha256:25c2bd47b679c040487da8d683a8c0169b2cacb012808798a03eebf5aba5545c
+size 5818