--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-base-cased-coffee20230113 results: [] --- # bert-base-cased-coffee20230113 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 5.1553 ## 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: 8 - eval_batch_size: 8 - 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 | 88 | 4.3261 | | 5.3354 | 2.0 | 176 | 2.8499 | | 3.0455 | 3.0 | 264 | 2.3299 | | 1.9373 | 4.0 | 352 | 2.5522 | | 1.2186 | 5.0 | 440 | 3.1720 | | 0.8601 | 6.0 | 528 | 3.0420 | | 0.6784 | 7.0 | 616 | 3.4801 | | 0.4319 | 8.0 | 704 | 3.7463 | | 0.4319 | 9.0 | 792 | 4.1014 | | 0.3164 | 10.0 | 880 | 4.2563 | | 0.2039 | 11.0 | 968 | 4.4461 | | 0.1202 | 12.0 | 1056 | 4.8725 | | 0.0491 | 13.0 | 1144 | 4.7507 | | 0.031 | 14.0 | 1232 | 5.1064 | | 0.0133 | 15.0 | 1320 | 5.1553 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.11.0+cu113 - Datasets 2.8.0 - Tokenizers 0.13.2