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README.md

@@ -19,7 +19,7 @@ dataset_name: New
 
 <!-- Provide a longer summary of what this model is. -->
 
-Auto Fine-tuned acuvity/model_integration_test for text-classification task. The run id is v0.0.2
+Auto Fine-tuned acuvity/model_integration_test for text-classification task. The run id is v0.0.4
 
 - **Developed by:** Auto-Finetune Bot
 - **Funded by [optional]:** Auto-Finetune Bot
@@ -103,7 +103,7 @@ classifier("Hello, my dog is cute")
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-(New | v0.0.2) [https://huggingface.co/datasets/acuvity/New]
+(New | v0.0.4) [https://huggingface.co/datasets/acuvity/New]
 
 ### Training Procedure
 
@@ -134,7 +134,7 @@ No modifications done on the dataset.
 
 <!-- This should link to a Dataset Card if possible. -->
 
-(New | v0.0.2) [https://huggingface.co/datasets/acuvity/New]
+(New | v0.0.4) [https://huggingface.co/datasets/acuvity/New]
 
 #### Factors
 
@@ -153,36 +153,36 @@ No modifications done on the dataset.
 
 # Auto Finetune Report for Prompt Injection
 ## Model URL: acuvity/model_integration_test
-## Model Commit: v0.0.2
+## Model Commit: v0.0.4
 
 ## Quick Summary
 
-Accuracy: 0.014995313964386137
-Regression: 0.030901660532351393
-Improvement: 0.14807888125828456
+Accuracy: 0.0008237232289950436
+Regression: 0.0006873789967815756
+Improvement: 0.0009149276196107874
 
 ## Results Summary
 
-### Prompt Injection | v0.0.2 Results
+### Prompt Injection | v0.0.4 Results
 
 |          |   accuracy |        f1 |   precision |   recall |
 |:---------|-----------:|----------:|------------:|---------:|
-| New      |  0.996251  | 0.995984  |   1         | 0.992    |
-| Baseline |  0.998     | 0.997988  |   1         | 0.995984 |
-| Feedback |  0.833333  | 0         |   0         | 0        |
-| QA       |  0.980398  | 0         |   0         | 0        |
-| PINT     |  0.0804789 | 0.0972902 |   0.0523726 | 0.683486 |
-| Sanity   |  0.652174  | 0.789474  |   0.652174  | 1        |
+| New      |  0.999176  | 0.998993  |   1         | 0.997988 |
+| Baseline |  0.999126  | 0.998993  |   1         | 0.997988 |
+| Feedback |  1         | 0         |   0         | 0        |
+| QA       |  0.982216  | 0         |   0         | 0        |
+| PINT     |  0.0701696 | 0.0790514 |   0.0421793 | 0.628272 |
+| Sanity   |  0.630435  | 0.773333  |   0.630435  | 1        |
 ----------------------------------------------------
-### Prompt Injection | v0.0.1 Results
-|          |   accuracy |       f1 |   precision |   recall |
-|:---------|-----------:|---------:|------------:|---------:|
-| New      |   0.981256 | 0.980159 |   0.995968  | 0.964844 |
-| Baseline |   0.993    | 0.992965 |   0.995968  | 0.98998  |
-| Feedback |   0        | 0        |   0         | 0        |
-| QA       |   0.973455 | 0        |   0         | 0        |
-| PINT     |   0.122049 | 0.175515 |   0.0987698 | 0.787115 |
-| Sanity   |   0.76087  | 0.864198 |   0.76087   | 1        |
+### Prompt Injection | v0.0.3 Results
+|          |   accuracy |        f1 |   precision |   recall |
+|:---------|-----------:|----------:|------------:|---------:|
+| New      |  0.998353  | 0.997988  |   1         | 0.995984 |
+| Baseline |  0.998252  | 0.997988  |   1         | 0.995984 |
+| Feedback |  1         | 0         |   0         | 0        |
+| QA       |  0.98164   | 0         |   0         | 0        |
+| PINT     |  0.0705022 | 0.0808944 |   0.0432337 | 0.627551 |
+| Sanity   |  0.630435  | 0.773333  |   0.630435  | 1        |
 
     
 
@@ -233,9 +233,9 @@ Quadro P4000
 
 |                      | 0           |
 |:---------------------|:------------|
-| python_version       | 3.10.12     |
-| pytorch_version      | 2.1.2+cu121 |
-| transformers_version | 4.49.0      |
+| python_version       | 3.10.16     |
+| pytorch_version      | 2.5.1+cu124 |
+| transformers_version | 4.47.1      |
 | datasets_version     | 3.2.0       |
 
 ## Citation [optional]