adhammai/distilbert-base-uncased-lora-text-classification-depression

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: 0.9411
-- Accuracy: {'accuracy': 0.891}
+- Loss: 0.0000
+- Accuracy: {'accuracy': 1.0}
 
 ## 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  | 0.5018          | {'accuracy': 0.857} |
-| 0.4415        | 2.0   | 500  | 0.4826          | {'accuracy': 0.878} |
-| 0.4415        | 3.0   | 750  | 0.5684          | {'accuracy': 0.884} |
-| 0.2044        | 4.0   | 1000 | 0.7824          | {'accuracy': 0.882} |
-| 0.2044        | 5.0   | 1250 | 0.8871          | {'accuracy': 0.888} |
-| 0.0831        | 6.0   | 1500 | 0.8291          | {'accuracy': 0.889} |
-| 0.0831        | 7.0   | 1750 | 0.9144          | {'accuracy': 0.887} |
-| 0.0254        | 8.0   | 2000 | 0.9386          | {'accuracy': 0.885} |
-| 0.0254        | 9.0   | 2250 | 0.9397          | {'accuracy': 0.898} |
-| 0.0093        | 10.0  | 2500 | 0.9411          | {'accuracy': 0.891} |
+| No log        | 1.0   | 250  | 0.2543          | {'accuracy': 0.92}  |
+| 0.3753        | 2.0   | 500  | 0.1290          | {'accuracy': 0.965} |
+| 0.3753        | 3.0   | 750  | 0.0939          | {'accuracy': 0.965} |
+| 0.1512        | 4.0   | 1000 | 0.0277          | {'accuracy': 0.995} |
+| 0.1512        | 5.0   | 1250 | 0.0014          | {'accuracy': 1.0}   |
+| 0.047         | 6.0   | 1500 | 0.0002          | {'accuracy': 1.0}   |
+| 0.047         | 7.0   | 1750 | 0.0001          | {'accuracy': 1.0}   |
+| 0.0041        | 8.0   | 2000 | 0.0001          | {'accuracy': 1.0}   |
+| 0.0041        | 9.0   | 2250 | 0.0000          | {'accuracy': 1.0}   |
+| 0.0031        | 10.0  | 2500 | 0.0000          | {'accuracy': 1.0}   |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 2518104

runs/Nov21_05-59-32_f78e5d527627/events.out.tfevents.1732168780.f78e5d527627.317.0

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training_args.bin

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 size 5368