Update README.md

README.md

@@ -1,65 +1,10 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: distilbert-base-uncased
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: cyberbullying_classifier
-  results: []
----
+Example use:
 
-<!-- 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. -->
+from transformers import pipeline
+text = "This was a masterpiece. Not completely faithful to the books, but enthralling from beginning to end. Might be my favorite of the three."
 
-# cyberbullying_classifier
 
-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: 0.7639
-- Accuracy: 0.8540
+classifier = pipeline("sentiment-analysis", model="ekurtulus/cyberbullying_classifier")
+classifier(text)
 
-## 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: 16
-- eval_batch_size: 16
-- 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 |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.235         | 1.0   | 843  | 0.3875          | 0.8540   |
-| 0.2038        | 2.0   | 1686 | 0.4101          | 0.8629   |
-| 0.1243        | 3.0   | 2529 | 0.6089          | 0.8531   |
-| 0.0747        | 4.0   | 3372 | 0.6828          | 0.8588   |
-| 0.0479        | 5.0   | 4215 | 0.7639          | 0.8540   |
-
-
-### Framework versions
-
-- Transformers 4.52.2
-- Pytorch 2.6.0+cu124
-- Datasets 2.14.4
-- Tokenizers 0.21.1
+# label=0 not bullying, label=1 bullying