--- license: apache-2.0 tags: - generated_from_trainer base_model: Twitter/twhin-bert-large model-index: - name: model results: [] --- # model This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.0642 ## 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: 1e-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 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.4071 | 1.0 | 150 | 2.2551 | | 2.3437 | 2.0 | 300 | 2.1579 | | 2.0723 | 3.0 | 450 | 2.0777 | | 2.1794 | 4.0 | 600 | 2.0741 | | 2.0892 | 5.0 | 750 | 2.0642 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2