End of training

README.md

@@ -18,8 +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: 0.9299
-- F1: 0.7077
+- Loss: 0.7253
+- F1: 0.8345
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 60   | 1.2415          | 0.3639 |
-| No log        | 2.0   | 120  | 0.9299          | 0.7077 |
+| No log        | 1.0   | 60   | 1.0232          | 0.6518 |
+| No log        | 2.0   | 120  | 0.7253          | 0.8345 |
 
 
 ### Framework versions

runs/Oct30_09-04-46_c3d20336f342/events.out.tfevents.1730279096.c3d20336f342.1663.0

@@ -1,3 +1,3 @@
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-size 5522
+oid sha256:63353fce94d429c0b7e32af305cb6938058ec1d16babaadce6575414a5e2f4c6
+size 6181