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: 1.5551
+- Loss: 1.6522
 
 ## Model description
 
@@ -40,17 +40,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 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          |
+| No log        | 1.0   | 250  | 2.3654          |
+| 2.7132        | 2.0   | 500  | 1.7418          |
+| 2.7132        | 3.0   | 750  | 1.6522          |
 
 
 ### Framework versions

model.safetensors

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 size 265470032

runs/Mar25_22-12-51_Asus/events.out.tfevents.1711404772.Asus.18260.0

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 version https://git-lfs.github.com/spec/v1
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