--- license: apache-2.0 base_model: irfanamal/distilbert_multiple_choice tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert_science_multiple_choice results: [] --- # distilbert_science_multiple_choice This model is a fine-tuned version of [irfanamal/distilbert_multiple_choice](https://huggingface.co/irfanamal/distilbert_multiple_choice) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1067 - Accuracy: 0.6 ## 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-06 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 1.2754 | 1.0 | 12 | 1.1916 | 0.55 | | 1.142 | 2.0 | 24 | 1.1608 | 0.55 | | 1.0688 | 3.0 | 36 | 1.1239 | 0.55 | | 0.9401 | 4.0 | 48 | 1.1163 | 0.55 | | 0.9029 | 5.0 | 60 | 1.1077 | 0.6 | | 0.7597 | 6.0 | 72 | 1.0713 | 0.6 | | 0.7811 | 7.0 | 84 | 1.0723 | 0.6 | | 0.7215 | 8.0 | 96 | 1.1225 | 0.6 | | 0.6318 | 9.0 | 108 | 1.1065 | 0.6 | | 0.6308 | 10.0 | 120 | 1.0958 | 0.6 | | 0.6369 | 11.0 | 132 | 1.1067 | 0.6 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3