--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-hate_speech results: [] --- # distilbert-base-uncased-finetuned-hate_speech 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: 0.3124 - Accuracy: 0.9120 ## 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: 4.403244198762251e-05 - train_batch_size: 8 - eval_batch_size: 32 - seed: 34 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.2952 | 1.0 | 2479 | 0.2984 | 0.9088 | | 0.232 | 2.0 | 4958 | 0.3124 | 0.9120 | ### Framework versions - Transformers 4.27.4 - Pytorch 1.13.1+cu116 - Datasets 2.11.0 - Tokenizers 0.13.2