--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: tiny-mlm-squad-plain_text results: [] --- # tiny-mlm-squad-plain_text This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 4.0170 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 4.4628 | 0.4 | 500 | 3.9931 | | 4.0687 | 0.8 | 1000 | 3.9571 | | 3.9256 | 1.2 | 1500 | 3.9381 | | 3.7901 | 1.6 | 2000 | 3.9680 | | 3.715 | 2.0 | 2500 | 3.9487 | | 3.6632 | 2.4 | 3000 | 4.0170 | ### Framework versions - Transformers 4.26.0.dev0 - Pytorch 1.13.0+cu116 - Datasets 2.8.1.dev0 - Tokenizers 0.13.2