End of training

README.md

@@ -21,7 +21,7 @@ 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: 0.1621
+- Loss: 0.2302
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 2    | 0.1655          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 2.0   | 4    | 0.1621          | 0.0       | 0.0    | 0.0 | 0.95     |
+| No log        | 1.0   | 2    | 0.2762          | 0.0       | 0.0    | 0.0 | 0.95     |
+| No log        | 2.0   | 4    | 0.2302          | 0.0       | 0.0    | 0.0 | 0.95     |
 
 
 ### Framework versions

model.safetensors

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 size 265470008

runs/Jan16_11-01-21_f35fb2804064/events.out.tfevents.1737025282.f35fb2804064.206.5

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