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 [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1895
-- F1: 0.9615
+- Loss: 0.0381
+- F1: 0.9804
 
 ## Model description
 
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 60   | 0.3288          | 0.8095 |
-| No log        | 2.0   | 120  | 0.2252          | 0.9615 |
-| No log        | 3.0   | 180  | 0.1895          | 0.9615 |
+| No log        | 1.0   | 60   | 0.2083          | 0.96   |
+| No log        | 2.0   | 120  | 0.3591          | 0.9259 |
+| No log        | 3.0   | 180  | 0.0381          | 0.9804 |
 
 
 ### Framework versions
 
 - Transformers 4.41.2
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.2
+- Datasets 2.20.0
 - Tokenizers 0.19.1

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