Training complete

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0716
-- Precision: 0.8064
-- Recall: 0.8175
-- F1: 0.8119
-- Accuracy: 0.9787
+- Loss: 0.0883
+- Precision: 0.7726
+- Recall: 0.7639
+- F1: 0.7682
+- Accuracy: 0.9735
 
 ## Model description
 
@@ -58,13 +58,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 231  | 0.0922          | 0.7461    | 0.7911 | 0.7680 | 0.9725   |
-| No log        | 2.0   | 462  | 0.0716          | 0.8064    | 0.8175 | 0.8119 | 0.9787   |
+| No log        | 1.0   | 231  | 0.1049          | 0.7242    | 0.7475 | 0.7356 | 0.9691   |
+| No log        | 2.0   | 462  | 0.0883          | 0.7726    | 0.7639 | 0.7682 | 0.9735   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.1+cu121
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Sep05_14-40-04_dc810888a375/events.out.tfevents.1725547205.dc810888a375.3692.0

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+size 7044