--- license: apache-2.0 base_model: distilbert/distilbert-base-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert_distilbert-base-uncased-15-epoch results: [] --- # distilbert_distilbert-base-uncased-15-epoch This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 6.5739 - Accuracy: 0.4129 ## 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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 1.2998 | 1.0 | 5714 | 1.3409 | 0.3419 | | 1.1366 | 2.0 | 11428 | 1.3753 | 0.3634 | | 0.9035 | 3.0 | 17142 | 1.4999 | 0.3794 | | 0.6883 | 4.0 | 22856 | 1.7468 | 0.3906 | | 0.5177 | 5.0 | 28570 | 2.1011 | 0.3997 | | 0.3968 | 6.0 | 34284 | 2.2910 | 0.4009 | | 0.2936 | 7.0 | 39998 | 2.8000 | 0.4121 | | 0.2403 | 8.0 | 45712 | 2.7002 | 0.4086 | | 0.1843 | 9.0 | 51426 | 3.4014 | 0.4160 | | 0.1478 | 10.0 | 57140 | 3.5690 | 0.4057 | | 0.1231 | 11.0 | 62854 | 4.3858 | 0.4102 | | 0.1027 | 12.0 | 68568 | 4.6814 | 0.4124 | | 0.0897 | 13.0 | 74282 | 4.9962 | 0.4186 | | 0.0823 | 14.0 | 79996 | 6.0199 | 0.4160 | | 0.0631 | 15.0 | 85710 | 6.5739 | 0.4129 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.2.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.0