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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2771
-- Precision: 0.5797
-- Recall: 0.3068
-- F1: 0.4012
-- Accuracy: 0.9419
+- Loss: 0.2681
+- Precision: 0.5874
+- Recall: 0.3114
+- F1: 0.4070
+- Accuracy: 0.9417
 
 ## Model description
 
@@ -55,13 +55,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2804          | 0.5761    | 0.2456 | 0.3444 | 0.9384   |
-| No log        | 2.0   | 426  | 0.2771          | 0.5797    | 0.3068 | 0.4012 | 0.9419   |
+| No log        | 1.0   | 213  | 0.2798          | 0.5953    | 0.2576 | 0.3596 | 0.9389   |
+| No log        | 2.0   | 426  | 0.2681          | 0.5874    | 0.3114 | 0.4070 | 0.9417   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
+- Transformers 4.37.2
+- Pytorch 2.2.0
 - Datasets 2.17.0
 - Tokenizers 0.15.2

model.safetensors

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