Update README.md

README.md

@@ -8,55 +8,3 @@ model-index:
 - name: HateBERT-Twitter-toxicity
   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. -->
-
-# HateBERT-Twitter-toxicity
-
-This model was trained from scratch on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4247
-- Accuracy: 0.8244
-
-## 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: 32
-- eval_batch_size: 32
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 4
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 70   | 0.3979          | 0.8136   |
-| 0.4483        | 2.0   | 140  | 0.3853          | 0.8387   |
-| 0.2153        | 3.0   | 210  | 0.4234          | 0.8244   |
-| 0.2153        | 4.0   | 280  | 0.4247          | 0.8244   |
-
-
-### Framework versions
-
-- Transformers 4.44.2
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.1
-- Tokenizers 0.19.1