--- library_name: transformers license: apache-2.0 base_model: Twitter/twhin-bert-large tags: - generated_from_trainer 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: 1.8347 ## 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: 8 - eval_batch_size: 8 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 2.3665 | 1.0 | 232 | 2.1375 | | 2.1583 | 2.0 | 464 | 1.9678 | | 1.9735 | 3.0 | 696 | 1.8494 | | 1.9592 | 4.0 | 928 | 1.7641 | | 1.783 | 5.0 | 1160 | 1.8347 | ### Framework versions - Transformers 4.45.1 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.20.0