End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9673
-- Accuracy: 0.7932
+- Loss: 0.9586
+- Accuracy: 0.7951
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 381  | 0.4128          | 0.8253   |
-| 0.4021        | 2.0   | 762  | 0.5094          | 0.8122   |
-| 0.2465        | 3.0   | 1143 | 0.6949          | 0.8070   |
-| 0.1459        | 4.0   | 1524 | 0.7853          | 0.8043   |
-| 0.1459        | 5.0   | 1905 | 0.9673          | 0.7932   |
+| No log        | 1.0   | 381  | 0.4382          | 0.8207   |
+| 0.3996        | 2.0   | 762  | 0.5340          | 0.8122   |
+| 0.2537        | 3.0   | 1143 | 0.6641          | 0.8148   |
+| 0.1347        | 4.0   | 1524 | 0.8495          | 0.7866   |
+| 0.1347        | 5.0   | 1905 | 0.9586          | 0.7951   |
 
 
 ### Framework versions

model.safetensors

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 size 267832560

training_args.bin

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 size 5368