End of training

README.md

@@ -20,11 +20,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4559
+- Loss: 1.2355
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.9390
+- Accuracy: 0.9570
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 2    | 1.5960          | 0.0333    | 0.25   | 0.0588 | 0.8451   |
-| No log        | 2.0   | 4    | 1.4559          | 0.0       | 0.0    | 0.0    | 0.9390   |
+| No log        | 1.0   | 3    | 1.4172          | 0.0526    | 0.0833 | 0.0645 | 0.9083   |
+| No log        | 2.0   | 6    | 1.2355          | 0.0       | 0.0    | 0.0    | 0.9570   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7700870de30dd9db18f44c407422d05ef7e7337530d1430400ed0ab11c64b75c
 size 265485396