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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0797
-- Precision: 0.5276
-- Recall: 0.6297
-- F1: 0.5742
-- Accuracy: 0.9700
+- Loss: 0.0834
+- Precision: 0.5329
+- Recall: 0.6129
+- F1: 0.5701
+- Accuracy: 0.9689
 
 ## 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   | 55   | 0.1312          | 0.3091    | 0.3759 | 0.3392 | 0.9464   |
-| No log        | 2.0   | 110  | 0.0918          | 0.4431    | 0.4965 | 0.4683 | 0.9663   |
-| No log        | 3.0   | 165  | 0.0826          | 0.4836    | 0.6199 | 0.5433 | 0.9684   |
-| No log        | 4.0   | 220  | 0.0777          | 0.5189    | 0.6157 | 0.5632 | 0.9703   |
-| No log        | 5.0   | 275  | 0.0797          | 0.5276    | 0.6297 | 0.5742 | 0.9700   |
+| No log        | 1.0   | 55   | 0.1363          | 0.2460    | 0.2987 | 0.2698 | 0.9436   |
+| No log        | 2.0   | 110  | 0.0926          | 0.3943    | 0.4656 | 0.4270 | 0.9636   |
+| No log        | 3.0   | 165  | 0.0823          | 0.4937    | 0.6059 | 0.5441 | 0.9683   |
+| No log        | 4.0   | 220  | 0.0802          | 0.5187    | 0.5849 | 0.5498 | 0.9696   |
+| No log        | 5.0   | 275  | 0.0834          | 0.5329    | 0.6129 | 0.5701 | 0.9689   |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.33.2
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.4
+- Datasets 2.14.5
 - Tokenizers 0.13.3