End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
@@ -17,8 +18,8 @@ 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: 0.1874
-- F1: 0.9503
+- Loss: 0.2502
+- F1: 0.9102
 
 ## Model description
 
@@ -49,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 100  | 0.1530          | 0.9403 |
-| No log        | 2.0   | 200  | 0.1874          | 0.9503 |
+| No log        | 1.0   | 100  | 0.3120          | 0.8751 |
+| No log        | 2.0   | 200  | 0.2502          | 0.9102 |
 
 
 ### Framework versions
 
-- Transformers 4.42.4
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Sep11_12-23-24_e961e3080555/events.out.tfevents.1726057411.e961e3080555.310.0

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