--- license: apache-2.0 base_model: distilbert/distilbert-base-uncased-distilled-squad tags: - generated_from_trainer metrics: - accuracy model-index: - name: category-1-delivery-cancellation-distilbert-base-uncased-distilled-squad-v1 results: [] --- # category-1-delivery-cancellation-distilbert-base-uncased-distilled-squad-v1 This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2431 - Accuracy: 0.9426 ## 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: 70 - eval_batch_size: 70 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 286 | 0.3740 | 0.8601 | | 0.2503 | 2.0 | 572 | 0.1944 | 0.9300 | | 0.2503 | 3.0 | 858 | 0.1716 | 0.9375 | | 0.1422 | 4.0 | 1144 | 0.1664 | 0.9413 | | 0.1422 | 5.0 | 1430 | 0.2271 | 0.9291 | | 0.0941 | 6.0 | 1716 | 0.2533 | 0.9239 | | 0.0637 | 7.0 | 2002 | 0.2018 | 0.9427 | | 0.0637 | 8.0 | 2288 | 0.2064 | 0.9482 | | 0.0408 | 9.0 | 2574 | 0.2494 | 0.9408 | | 0.0408 | 10.0 | 2860 | 0.2431 | 0.9426 | ### Framework versions - Transformers 4.43.2 - Pytorch 2.3.0 - Datasets 2.20.0 - Tokenizers 0.19.1