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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4409
-- Accuracy: 0.8730
-- F1: 0.8722
+- Loss: 0.3877
+- Accuracy: 0.9048
+- F1: 0.9028
 
 ## Model description
 
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8183        | 3.975 | 318  | 0.4409          | 0.8730   | 0.8722 |
+| 0.8347        | 3.975 | 318  | 0.3877          | 0.9048   | 0.9028 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7997d6537b1ad310acd4472e8a59187723dbe2bb2d1881fd0ed0a394a4de768a
 size 267851024