muradmy/distilbert-base-uncased-lora-text-classification

README.md

@@ -18,8 +18,8 @@ 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: 1.0105
-- Accuracy: {'accuracy': 0.883}
+- Loss: 1.0301
+- Accuracy: {'accuracy': 0.881}
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy            |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.5352          | {'accuracy': 0.846} |
-| 0.4244        | 2.0   | 500  | 0.5093          | {'accuracy': 0.866} |
-| 0.4244        | 3.0   | 750  | 0.6340          | {'accuracy': 0.869} |
-| 0.1953        | 4.0   | 1000 | 0.7144          | {'accuracy': 0.872} |
-| 0.1953        | 5.0   | 1250 | 0.9446          | {'accuracy': 0.871} |
-| 0.0665        | 6.0   | 1500 | 0.8738          | {'accuracy': 0.875} |
-| 0.0665        | 7.0   | 1750 | 0.9256          | {'accuracy': 0.887} |
-| 0.0206        | 8.0   | 2000 | 1.0166          | {'accuracy': 0.877} |
-| 0.0206        | 9.0   | 2250 | 1.0080          | {'accuracy': 0.88}  |
-| 0.0073        | 10.0  | 2500 | 1.0105          | {'accuracy': 0.883} |
+| No log        | 1.0   | 250  | 0.3999          | {'accuracy': 0.869} |
+| 0.4504        | 2.0   | 500  | 0.4250          | {'accuracy': 0.87}  |
+| 0.4504        | 3.0   | 750  | 0.8274          | {'accuracy': 0.848} |
+| 0.2197        | 4.0   | 1000 | 0.6670          | {'accuracy': 0.871} |
+| 0.2197        | 5.0   | 1250 | 0.7513          | {'accuracy': 0.877} |
+| 0.0976        | 6.0   | 1500 | 0.8166          | {'accuracy': 0.871} |
+| 0.0976        | 7.0   | 1750 | 0.9774          | {'accuracy': 0.874} |
+| 0.0209        | 8.0   | 2000 | 1.0238          | {'accuracy': 0.868} |
+| 0.0209        | 9.0   | 2250 | 1.0175          | {'accuracy': 0.88}  |
+| 0.0089        | 10.0  | 2500 | 1.0301          | {'accuracy': 0.881} |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:19da4b5a148aa740f1b9b3ba22bc30d820919ca9eddc728b525471a84c529927
+oid sha256:93958eaf4ba88bbc44c0e452db4d533da693a537e99ef6c9d50f8b2bdcc3af68
 size 5368