--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-15 results: [] --- # bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-15 This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: nan ## 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: 4e-05 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 8.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 5.6071 | 1.0 | 1 | 4.6619 | | 2.5628 | 2.0 | 2 | 1.4954 | | 2.7258 | 3.0 | 3 | 1.3931 | | 0.9892 | 4.0 | 4 | 2.0250 | | 2.177 | 5.0 | 5 | 1.9576 | | 1.5278 | 6.0 | 6 | 1.3902 | | 1.6818 | 7.0 | 7 | 1.0283 | | 1.1308 | 8.0 | 8 | 0.4231 | ### Framework versions - Transformers 4.29.2 - Pytorch 2.0.1+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3