--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-cased-distilled-squad-coffee20230108 results: [] --- # distilbert-base-cased-distilled-squad-coffee20230108 This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.2375 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 2 | 2.6360 | | No log | 2.0 | 4 | 2.6283 | | No log | 3.0 | 6 | 2.6177 | | No log | 4.0 | 8 | 2.5990 | | No log | 5.0 | 10 | 2.5762 | | No log | 6.0 | 12 | 2.5464 | | No log | 7.0 | 14 | 2.5160 | | No log | 8.0 | 16 | 2.4832 | | No log | 9.0 | 18 | 2.4497 | | No log | 10.0 | 20 | 2.4124 | | No log | 11.0 | 22 | 2.3740 | | No log | 12.0 | 24 | 2.3414 | | No log | 13.0 | 26 | 2.3065 | | No log | 14.0 | 28 | 2.2717 | | No log | 15.0 | 30 | 2.2375 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.11.0+cu113 - Datasets 2.8.0 - Tokenizers 0.13.2