--- library_name: transformers license: apache-2.0 base_model: bert-base-uncased tags: - generated_from_trainer model-index: - name: bert-emotion-ordinal-lr results: [] --- pip install -U git+https://github.com/mauricekraus/transformers@bert-ordinal # bert-emotion-ordinal-lr This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. ## 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: 0.0005 - train_batch_size: 425 - eval_batch_size: 425 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 1000 - num_epochs: 8 ### Framework versions - Transformers 4.48.3 - Pytorch 2.5.1+cu121 - Datasets 3.3.0 - Tokenizers 0.21.0