End of training

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9374
-- F1: 0.6146
+- Loss: 2.2832
+- F1: 0.6147
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.3306        | 1.0   | 1793 | 1.5931          | 0.5957 |
-| 0.309         | 2.0   | 3586 | 1.5492          | 0.5904 |
-| 0.3157        | 3.0   | 5379 | 1.7230          | 0.6114 |
-| 0.1692        | 4.0   | 7172 | 1.9374          | 0.6146 |
+| 0.4101        | 1.0   | 1793 | 1.5152          | 0.5901 |
+| 0.315         | 2.0   | 3586 | 1.7600          | 0.6019 |
+| 0.186         | 3.0   | 5379 | 2.0920          | 0.6121 |
+| 0.0941        | 4.0   | 7172 | 2.2832          | 0.6147 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 267841796

runs/Mar20_16-34-43_1453dca20afa/events.out.tfevents.1742489419.1453dca20afa.1724.3

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