Model save

README.md

@@ -21,11 +21,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0636
-- Accuracy: 0.7263
-- Precision: 0.7778
-- Recall: 0.4058
-- F1: 0.5333
+- Loss: 0.4436
+- Accuracy: 0.8268
+- Precision: 0.7794
+- Recall: 0.7681
+- F1: 0.7737
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 45   | 1.0636          | 0.7263   | 0.7778    | 0.4058 | 0.5333 |
-| No log        | 2.0   | 90   | 1.2095          | 0.7709   | 0.8333    | 0.5072 | 0.6306 |
-| No log        | 3.0   | 135  | 1.1760          | 0.7765   | 0.7843    | 0.5797 | 0.6667 |
+| No log        | 1.0   | 45   | 0.4673          | 0.8212   | 0.7606    | 0.7826 | 0.7714 |
+| No log        | 2.0   | 90   | 0.4656          | 0.8101   | 0.7692    | 0.7246 | 0.7463 |
+| No log        | 3.0   | 135  | 0.4436          | 0.8268   | 0.7794    | 0.7681 | 0.7737 |
 
 
 ### Framework versions

runs/Feb04_15-32-05_9beb83ca8fa3/events.out.tfevents.1738684230.9beb83ca8fa3.202.1

@@ -0,0 +1,3 @@
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+size 560