--- license: apache-2.0 base_model: distilbert-base-cased tags: - generated_from_trainer model-index: - name: distilbert-base-cased-document-casual results: [] --- # distilbert-base-cased-document-casual This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2732 - F1-score: 0.9033 ## 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: 5e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1-score | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.1376 | 0.97 | 15 | 0.6716 | 0.7342 | | 0.0517 | 2.0 | 31 | 0.3222 | 0.9350 | | 0.0075 | 2.97 | 46 | 0.2732 | 0.9033 | | 0.0032 | 4.0 | 62 | 0.2932 | 0.9033 | | 0.0024 | 4.84 | 75 | 0.2914 | 0.9033 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 2.16.1 - Tokenizers 0.15.2