--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: 20split_dataset_version1 results: [] --- # 20split_dataset_version1 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: 2.1942 ## 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: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 12 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:------:|:---------------:| | 2.7475 | 1.0 | 11851 | 2.5194 | | 2.5528 | 2.0 | 23702 | 2.4191 | | 2.4649 | 3.0 | 35553 | 2.3646 | | 2.4038 | 4.0 | 47404 | 2.3289 | | 2.3632 | 5.0 | 59255 | 2.2922 | | 2.3273 | 6.0 | 71106 | 2.2739 | | 2.2964 | 7.0 | 82957 | 2.2494 | | 2.2732 | 8.0 | 94808 | 2.2217 | | 2.2526 | 9.0 | 106659 | 2.2149 | | 2.2369 | 10.0 | 118510 | 2.2029 | | 2.222 | 11.0 | 130361 | 2.2020 | | 2.2135 | 12.0 | 142212 | 2.1942 | ### Framework versions - Transformers 4.20.1 - Pytorch 1.12.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1