--- library_name: transformers license: apache-2.0 base_model: mrm8488/electra-small-finetuned-squadv2 tags: - generated_from_trainer metrics: - accuracy model-index: - name: electra_interview_new results: [] --- # electra_interview_new This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.2978 - Accuracy: 0.2716 ## 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: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 463 | 2.6395 | 0.1983 | | 2.7859 | 2.0 | 926 | 2.5260 | 0.1983 | | 2.5604 | 3.0 | 1389 | 2.4446 | 0.2241 | | 2.4612 | 4.0 | 1852 | 2.3737 | 0.3103 | | 2.2886 | 5.0 | 2315 | 2.3307 | 0.3276 | | 2.1381 | 6.0 | 2778 | 2.3076 | 0.3017 | | 1.9905 | 7.0 | 3241 | 2.3089 | 0.2931 | | 1.8363 | 8.0 | 3704 | 2.2939 | 0.2845 | | 1.7738 | 9.0 | 4167 | 2.3060 | 0.2802 | | 1.6807 | 10.0 | 4630 | 2.2978 | 0.2716 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0