Training Completed

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: 0.1444
-- Accuracy: 0.936
-- F1: 0.9360
+- Loss: 0.2227
+- Accuracy: 0.9235
+- F1: 0.9235
 
 ## 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   | 250  | 0.1518          | 0.935    | 0.9353 |
-| 0.138         | 2.0   | 500  | 0.1444          | 0.936    | 0.9360 |
+| No log        | 1.0   | 250  | 0.3152          | 0.904    | 0.9032 |
+| 0.5319        | 2.0   | 500  | 0.2227          | 0.9235   | 0.9235 |
 
 
 ### Framework versions

runs/Nov11_05-29-51_59e54ae26545/events.out.tfevents.1731303007.59e54ae26545.427.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70081c25ddc9a37d7ecedd963e45d90ffd34c0ac1523f75dbbba665dcb9ec8d0
-size 5667
+oid sha256:f2d25e0077f4e6a3dd1c04b816751d8c4cb26e99b6be1cb41105db3dcca5a101
+size 6390