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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3677
-- Accuracy: 0.8737
-- F1: 0.9164
+- Loss: 0.3381
+- Accuracy: 0.8676
+- F1: 0.9113
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 165  | 0.5009          | 0.7763   | 0.8622 |
-| No log        | 2.0   | 330  | 0.3371          | 0.8661   | 0.9120 |
-| No log        | 3.0   | 495  | 0.3397          | 0.8584   | 0.9073 |
-| 0.4261        | 4.0   | 660  | 0.3677          | 0.8737   | 0.9164 |
-| 0.4261        | 5.0   | 825  | 0.3884          | 0.8706   | 0.9135 |
+| No log        | 1.0   | 165  | 0.5122          | 0.7839   | 0.8645 |
+| No log        | 2.0   | 330  | 0.4525          | 0.7915   | 0.8706 |
+| No log        | 3.0   | 495  | 0.3365          | 0.8661   | 0.9118 |
+| 0.4562        | 4.0   | 660  | 0.3381          | 0.8676   | 0.9113 |
+| 0.4562        | 5.0   | 825  | 0.3609          | 0.8645   | 0.9089 |
 
 
 ### Framework versions

model.safetensors

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 size 267832560

runs/Jun22_06-57-13_5bbda3177d26/events.out.tfevents.1719039907.5bbda3177d26.4680.6

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+oid sha256:7212cbbd24f851ce3b95307c7cecdab692352a6e5f5d37018dab4b46317f6f38
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