--- library_name: transformers base_model: pilotj/bert-base-uncased-fibe-v3 tags: - generated_from_trainer model-index: - name: bert-base-uncased-fibe-final results: [] --- # bert-base-uncased-fibe-final This model is a fine-tuned version of [pilotj/bert-base-uncased-fibe-v3](https://huggingface.co/pilotj/bert-base-uncased-fibe-v3) on the None dataset. It achieves the following results on the evaluation set: - eval_loss: 0.3655 - eval_runtime: 111.3303 - eval_samples_per_second: 234.896 - eval_steps_per_second: 3.674 - epoch: 1.0030 - step: 10500 ## 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: 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: 2 ### Framework versions - Transformers 4.45.1 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.20.0