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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2870
-- Precision: 0.6543
-- Recall: 0.6256
-- F1: 0.6397
-- Accuracy: 0.9433
+- Loss: 0.2794
+- Precision: 0.6556
+- Recall: 0.6324
+- F1: 0.6438
+- Accuracy: 0.9448
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 282  | 0.3862          | 0.4247    | 0.2901 | 0.3447 | 0.9041   |
-| 0.4179        | 2.0   | 564  | 0.3053          | 0.5411    | 0.4216 | 0.4739 | 0.9228   |
-| 0.4179        | 3.0   | 846  | 0.2923          | 0.6195    | 0.5025 | 0.5549 | 0.9315   |
-| 0.2108        | 4.0   | 1128 | 0.2770          | 0.5641    | 0.5346 | 0.5489 | 0.9322   |
-| 0.2108        | 5.0   | 1410 | 0.2789          | 0.6104    | 0.5548 | 0.5813 | 0.9369   |
-| 0.1279        | 6.0   | 1692 | 0.2793          | 0.6171    | 0.5953 | 0.6060 | 0.9382   |
-| 0.1279        | 7.0   | 1974 | 0.2790          | 0.6348    | 0.6037 | 0.6188 | 0.9417   |
-| 0.0881        | 8.0   | 2256 | 0.2864          | 0.6490    | 0.6206 | 0.6345 | 0.9419   |
-| 0.0615        | 9.0   | 2538 | 0.2874          | 0.6414    | 0.6003 | 0.6202 | 0.9417   |
-| 0.0615        | 10.0  | 2820 | 0.2870          | 0.6543    | 0.6256 | 0.6397 | 0.9433   |
+| No log        | 1.0   | 282  | 0.3860          | 0.3575    | 0.2411 | 0.2880 | 0.9035   |
+| 0.4189        | 2.0   | 564  | 0.3048          | 0.5051    | 0.4165 | 0.4566 | 0.9227   |
+| 0.4189        | 3.0   | 846  | 0.2893          | 0.5924    | 0.5025 | 0.5438 | 0.9303   |
+| 0.209         | 4.0   | 1128 | 0.2752          | 0.5640    | 0.5649 | 0.5644 | 0.9335   |
+| 0.209         | 5.0   | 1410 | 0.2880          | 0.6466    | 0.5616 | 0.6011 | 0.9409   |
+| 0.1252        | 6.0   | 1692 | 0.2656          | 0.6404    | 0.5885 | 0.6134 | 0.9426   |
+| 0.1252        | 7.0   | 1974 | 0.2662          | 0.6367    | 0.6324 | 0.6345 | 0.9419   |
+| 0.0859        | 8.0   | 2256 | 0.2717          | 0.6584    | 0.6273 | 0.6425 | 0.9444   |
+| 0.0593        | 9.0   | 2538 | 0.2774          | 0.6590    | 0.6290 | 0.6437 | 0.9440   |
+| 0.0593        | 10.0  | 2820 | 0.2794          | 0.6556    | 0.6324 | 0.6438 | 0.9448   |
 
 
 ### Framework versions

model.safetensors

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runs/Oct06_22-49-19_79015440b8fc/events.out.tfevents.1728254978.79015440b8fc.34.0

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