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: 1.4964
+- Loss: 1.6354
 
 ## 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   | 300  | 2.0574          |
-| 2.7998        | 2.0   | 600  | 1.5170          |
-| 2.7998        | 3.0   | 900  | 1.4254          |
-| 1.2418        | 4.0   | 1200 | 1.4476          |
-| 0.8728        | 5.0   | 1500 | 1.4964          |
+| No log        | 1.0   | 300  | 2.1615          |
+| 2.7408        | 2.0   | 600  | 1.7034          |
+| 2.7408        | 3.0   | 900  | 1.6354          |
 
 
 ### Framework versions

model.safetensors

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 size 265470032

runs/Apr06_09-00-08_Asus/events.out.tfevents.1712390409.Asus.17188.0

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