--- license: apache-2.0 base_model: distilbert-base-uncased tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-DIS-mlm5 results: [] --- # distilbert-base-uncased-finetuned-DIS-mlm5 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 4.4911 ## 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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.036 | 1.0 | 2 | 4.3499 | | 0.1722 | 2.0 | 4 | 4.3545 | | 0.6087 | 3.0 | 6 | 5.8627 | | 0.2151 | 4.0 | 8 | 3.6960 | | 0.2115 | 5.0 | 10 | 3.2086 | | 0.3443 | 6.0 | 12 | 5.1042 | | 0.1082 | 7.0 | 14 | 4.0195 | | 0.5068 | 8.0 | 16 | 3.6664 | | 0.7362 | 9.0 | 18 | 4.3850 | | 0.4281 | 10.0 | 20 | 4.6974 | | 1.3107 | 11.0 | 22 | 4.3258 | | 1.4157 | 12.0 | 24 | 4.8907 | | 2.5918 | 13.0 | 26 | 4.6595 | | 2.577 | 14.0 | 28 | 4.3417 | | 1.6291 | 15.0 | 30 | 5.0013 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.2 - Tokenizers 0.13.3