--- license: apache-2.0 base_model: irfanamal/electra_multiple_choice tags: - generated_from_trainer metrics: - accuracy model-index: - name: electra_science_multiple_choice results: [] --- # electra_science_multiple_choice This model is a fine-tuned version of [irfanamal/electra_multiple_choice](https://huggingface.co/irfanamal/electra_multiple_choice) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.4381 - Accuracy: 0.45 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 1.4368 | 1.0 | 12 | 1.2512 | 0.35 | | 1.2949 | 2.0 | 24 | 1.2620 | 0.35 | | 1.2896 | 3.0 | 36 | 1.2684 | 0.35 | | 1.1331 | 4.0 | 48 | 1.2829 | 0.4 | | 1.0597 | 5.0 | 60 | 1.2817 | 0.4 | | 0.9501 | 6.0 | 72 | 1.3375 | 0.4 | | 0.8908 | 7.0 | 84 | 1.3192 | 0.4 | | 0.8428 | 8.0 | 96 | 1.3283 | 0.4 | | 0.7653 | 9.0 | 108 | 1.3877 | 0.45 | | 0.6729 | 10.0 | 120 | 1.3613 | 0.4 | | 0.6523 | 11.0 | 132 | 1.4381 | 0.45 | ### Framework versions - Transformers 4.31.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3