SaiPavanKumarMeruga/distilbert-base-uncased-lora-sarcasm-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: 0.8712
-- Accuracy: {'accuracy': 0.87}
+- Loss: 1.6464
+- Accuracy: {'accuracy': 0.84}
 
 ## 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  | 0.3633          | {'accuracy': 0.846} |
-| 0.4931        | 2.0   | 500  | 0.3868          | {'accuracy': 0.872} |
-| 0.4931        | 3.0   | 750  | 0.3946          | {'accuracy': 0.896} |
-| 0.2372        | 4.0   | 1000 | 0.6032          | {'accuracy': 0.874} |
-| 0.2372        | 5.0   | 1250 | 0.6528          | {'accuracy': 0.88}  |
-| 0.0812        | 6.0   | 1500 | 0.7598          | {'accuracy': 0.884} |
-| 0.0812        | 7.0   | 1750 | 0.8247          | {'accuracy': 0.882} |
-| 0.0288        | 8.0   | 2000 | 0.9278          | {'accuracy': 0.868} |
-| 0.0288        | 9.0   | 2250 | 0.8440          | {'accuracy': 0.884} |
-| 0.0134        | 10.0  | 2500 | 0.8712          | {'accuracy': 0.87}  |
+| No log        | 1.0   | 250  | 0.5728          | {'accuracy': 0.824} |
+| 0.4384        | 2.0   | 500  | 0.6861          | {'accuracy': 0.84}  |
+| 0.4384        | 3.0   | 750  | 1.1608          | {'accuracy': 0.812} |
+| 0.1949        | 4.0   | 1000 | 1.0198          | {'accuracy': 0.826} |
+| 0.1949        | 5.0   | 1250 | 1.1314          | {'accuracy': 0.838} |
+| 0.0612        | 6.0   | 1500 | 1.3810          | {'accuracy': 0.844} |
+| 0.0612        | 7.0   | 1750 | 1.6426          | {'accuracy': 0.832} |
+| 0.0164        | 8.0   | 2000 | 1.6141          | {'accuracy': 0.844} |
+| 0.0164        | 9.0   | 2250 | 1.6768          | {'accuracy': 0.842} |
+| 0.0075        | 10.0  | 2500 | 1.6464          | {'accuracy': 0.84}  |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Aug04_23-29-31_Sais-MBP-3.attlocal.net/events.out.tfevents.1722828571.Sais-MBP-3.attlocal.net.13620.0

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training_args.bin

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 size 5176