End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.2533
-- Accuracy: 0.9136
-- F1: 0.9136
+- Loss: 0.2504
+- Accuracy: 0.9141
+- F1: 0.9141
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 157  | 0.2919          | 0.9036   | 0.9031 |
-| No log        | 2.0   | 314  | 0.2533          | 0.9136   | 0.9136 |
+| No log        | 1.0   | 157  | 0.2896          | 0.9041   | 0.9036 |
+| No log        | 2.0   | 314  | 0.2504          | 0.9141   | 0.9141 |
 
 
 ### Framework versions

model.safetensors

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runs/Jun02_02-10-42_effcc47647fb/events.out.tfevents.1717294257.effcc47647fb.34.0

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training_args.bin

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