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: 1.5293
+- Loss: 1.5551
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 400  | 1.8233          |
-| 2.6808        | 2.0   | 800  | 1.4748          |
-| 1.3377        | 3.0   | 1200 | 1.4337          |
-| 0.9407        | 4.0   | 1600 | 1.5031          |
-| 0.7257        | 5.0   | 2000 | 1.5293          |
+| No log        | 1.0   | 250  | 2.2577          |
+| 2.631         | 2.0   | 500  | 1.6317          |
+| 2.631         | 3.0   | 750  | 1.5312          |
+| 1.087         | 4.0   | 1000 | 1.5339          |
+| 1.087         | 5.0   | 1250 | 1.5551          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 265470032

runs/Mar24_20-42-52_Asus/events.out.tfevents.1711312973.Asus.18592.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92b397d63f00e8550688d83992fe0a20f1270b1c0c47e19c241b7ba7f7ea5506
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+size 6562