bobo1234/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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4024
-- Accuracy: {'accuracy': 0.889}
+- Loss: 0.4702
+- Accuracy: {'accuracy': 0.871}
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy            |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.3571          | {'accuracy': 0.88}  |
-| 0.3989        | 2.0   | 500  | 0.4024          | {'accuracy': 0.889} |
+| No log        | 1.0   | 250  | 0.3776          | {'accuracy': 0.873} |
+| 0.3308        | 2.0   | 500  | 0.4702          | {'accuracy': 0.871} |
 
 
 ### Framework versions

runs/Aug25_12-03-17_04ecfcb34ba3/events.out.tfevents.1724587405.04ecfcb34ba3.1822.0

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training_args.bin

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