--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: hf-distilbert-imdb-mlm results: [] --- # hf-distilbert-imdb-mlm 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: 2.0927 ## 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: 420 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.5049 | 1.0 | 383 | 2.3056 | | 2.3896 | 2.0 | 766 | 2.2460 | | 2.3458 | 3.0 | 1149 | 2.2351 | | 2.3097 | 4.0 | 1532 | 2.1917 | | 2.2839 | 5.0 | 1915 | 2.1935 | | 2.2611 | 6.0 | 2298 | 2.1741 | | 2.2397 | 7.0 | 2681 | 2.1516 | | 2.2234 | 8.0 | 3064 | 2.1464 | | 2.2121 | 9.0 | 3447 | 2.1242 | | 2.2041 | 10.0 | 3830 | 2.1361 | | 2.1883 | 11.0 | 4213 | 2.1251 | | 2.185 | 12.0 | 4596 | 2.1297 | | 2.1712 | 13.0 | 4979 | 2.1062 | | 2.1648 | 14.0 | 5362 | 2.1049 | | 2.1587 | 15.0 | 5745 | 2.1066 | | 2.1532 | 16.0 | 6128 | 2.0981 | | 2.1472 | 17.0 | 6511 | 2.0926 | | 2.1462 | 18.0 | 6894 | 2.0832 | | 2.1437 | 19.0 | 7277 | 2.0937 | | 2.1386 | 20.0 | 7660 | 2.0927 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3