End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4872
-- F1: 0.7304
+- Loss: 0.2801
+- F1: 0.8988
 
 ## Model description
 
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 15   | 0.5596          | 0.4912 |
-| No log        | 2.0   | 30   | 0.4872          | 0.7304 |
+| No log        | 1.0   | 50   | 0.3786          | 0.8346 |
+| No log        | 2.0   | 100  | 0.2801          | 0.8988 |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Jul21_12-54-16_828904c34c4b/events.out.tfevents.1721566472.828904c34c4b.318.0

@@ -1,3 +1,3 @@
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+size 5990