End of training

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2500
-- Accuracy: 0.9184
-- F1: 0.9184
+- Loss: 0.2469
+- Accuracy: 0.9192
+- F1: 0.9191
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2703          | 0.9126   | 0.9124 |
-| 0.3088        | 2.0   | 626  | 0.2500          | 0.9184   | 0.9184 |
+| No log        | 1.0   | 313  | 0.2670          | 0.9132   | 0.9130 |
+| 0.3073        | 2.0   | 626  | 0.2469          | 0.9192   | 0.9191 |
 
 
 ### Framework versions

runs/Sep16_09-22-23_ac1804cbc333/events.out.tfevents.1758014549.ac1804cbc333.350.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5648
+oid sha256:2af70de26c888ad2a7c9255dfb7ac42e98f32b6d70a1f75cb258177831056036
+size 6371