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: 2.7363
+- Loss: 0.8905
 
 ## Model description
 
@@ -40,15 +40,13 @@ 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: 3
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 13   | 3.7488          |
-| No log        | 2.0   | 26   | 2.9942          |
-| No log        | 3.0   | 39   | 2.7363          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.3881        | 1.0   | 10852 | 0.8905          |
 
 
 ### Framework versions

model.safetensors

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 size 265470032

runs/Feb03_19-57-03_nikos-IdeaPad-Gaming-3-16ARH7/events.out.tfevents.1706983024.nikos-IdeaPad-Gaming-3-16ARH7.35006.0

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