Create README.md

README.md

@@ -1,65 +1,15 @@
 ---
-library_name: transformers
 license: mit
-base_model: roberta-base
+datasets:
+- deepset/prompt-injections
+- geekyrakshit/prompt-injection-dataset
+language:
+- en
+base_model:
+- FacebookAI/roberta-base
+pipeline_tag: text-classification
 tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: prompt-injection-roberta
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# prompt-injection-roberta
-
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0022
-- Accuracy: 1.0
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5157        | 1.0   | 59   | 0.3235          | 0.9136   |
-| 0.1514        | 2.0   | 118  | 0.0030          | 1.0      |
-| 0.114         | 3.0   | 177  | 0.0007          | 1.0      |
-| 0.02          | 4.0   | 236  | 0.0102          | 0.9877   |
-| 0.0035        | 5.0   | 295  | 0.0022          | 1.0      |
-
-
-### Framework versions
-
-- Transformers 4.51.1
-- Pytorch 2.6.0+cu124
-- Datasets 3.5.0
-- Tokenizers 0.21.1
+- guard-rail
+- prompt-injection
+- moderation
+---