update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: hateBERT-finetuned
+  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-finetuned
+
+This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7774
+- Accuracy: 0.7967
+- F1: 0.8416
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4449        | 1.0   | 1548 | 0.4935          | 0.7909   | 0.8432 |
+| 0.3465        | 2.0   | 3096 | 0.5296          | 0.7944   | 0.8375 |
+| 0.2789        | 3.0   | 4644 | 0.7774          | 0.7967   | 0.8416 |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.12.1+cu113
+- Datasets 1.18.3
+- Tokenizers 0.13.2