--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: mini-mlm-tweet results: [] --- # mini-mlm-tweet This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset. It achieves the following results on the evaluation set: - Loss: 4.1171 ## 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - num_epochs: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.9227 | 11.11 | 500 | 3.8377 | | 3.4825 | 22.22 | 1000 | 3.7411 | | 3.2903 | 33.33 | 1500 | 3.8864 | | 3.1026 | 44.44 | 2000 | 3.6987 | | 2.9438 | 55.56 | 2500 | 3.9807 | | 2.8075 | 66.67 | 3000 | 3.8835 | | 2.6951 | 77.78 | 3500 | 4.1171 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.0+cu116 - Datasets 2.7.1 - Tokenizers 0.13.2