--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: 20split_dataset_version4 results: [] --- # 20split_dataset_version4 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: 3.1060 ## 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: 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: 16 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.4213 | 1.0 | 313 | 3.2276 | | 3.2295 | 2.0 | 626 | 3.2054 | | 3.0262 | 3.0 | 939 | 3.1718 | | 2.9608 | 4.0 | 1252 | 3.1649 | | 2.8715 | 5.0 | 1565 | 3.1499 | | 2.7614 | 6.0 | 1878 | 3.1471 | | 2.6688 | 7.0 | 2191 | 3.1280 | | 2.6582 | 8.0 | 2504 | 3.1348 | | 2.5296 | 9.0 | 2817 | 3.1149 | | 2.5086 | 10.0 | 3130 | 3.1200 | | 2.4567 | 11.0 | 3443 | 3.1020 | | 2.4052 | 12.0 | 3756 | 3.1257 | | 2.3513 | 13.0 | 4069 | 3.1222 | | 2.3561 | 14.0 | 4382 | 3.1102 | | 2.3574 | 15.0 | 4695 | 3.1027 | | 2.3192 | 16.0 | 5008 | 3.1060 | ### Framework versions - Transformers 4.21.0 - Pytorch 1.12.0+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1