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: 0.2398
-- Precision: 0.7853
-- Recall: 0.7984
-- F1: 0.7918
-- Accuracy: 0.9504
+- Loss: 0.1996
+- Precision: 0.7901
+- Recall: 0.7708
+- F1: 0.7803
+- Accuracy: 0.9487
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 167  | 0.2454          | 0.8038    | 0.7664 | 0.7846 | 0.9489   |
-| No log        | 2.0   | 334  | 0.2225          | 0.7697    | 0.8230 | 0.7954 | 0.9512   |
-| 0.0449        | 3.0   | 501  | 0.2229          | 0.7883    | 0.8022 | 0.7952 | 0.9521   |
-| 0.0449        | 4.0   | 668  | 0.2311          | 0.7819    | 0.8116 | 0.7965 | 0.9517   |
-| 0.0449        | 5.0   | 835  | 0.2398          | 0.7853    | 0.7984 | 0.7918 | 0.9504   |
+| No log        | 1.0   | 167  | 0.2305          | 0.6823    | 0.7752 | 0.7257 | 0.9334   |
+| No log        | 2.0   | 334  | 0.1971          | 0.7673    | 0.7601 | 0.7637 | 0.9456   |
+| 0.2227        | 3.0   | 501  | 0.1912          | 0.7839    | 0.7563 | 0.7698 | 0.9477   |
+| 0.2227        | 4.0   | 668  | 0.1902          | 0.7877    | 0.7934 | 0.7905 | 0.9511   |
+| 0.2227        | 5.0   | 835  | 0.1996          | 0.7901    | 0.7708 | 0.7803 | 0.9487   |
 
 
 ### Framework versions

model.safetensors

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runs/Nov19_00-00-29_7ada9e1b36df/events.out.tfevents.1700352036.7ada9e1b36df.736.3

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