--- license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer - sentiment analysis - cyberbullying detection - PyTorch - Trainer - DistilBERT model-index: - name: Training_Checkpoint results: [] language: - en metrics: - f1 - accuracy library_name: transformers pipeline_tag: text-classification --- # Training_Checkpoint 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: - eval_loss: 0.0006 - eval_accuracy: 1.0 - eval_f1: 1.0 - eval_runtime: 1.7344 - eval_samples_per_second: 576.552 - eval_steps_per_second: 36.323 - epoch: 10.0 - step: 630 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 50 ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1