--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: tiny-mlm-conll2003 results: [] --- # tiny-mlm-conll2003 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: 4.6472 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 5.4619 | 0.4 | 500 | 5.1363 | | 5.2804 | 0.8 | 1000 | 4.9579 | | 5.1847 | 1.2 | 1500 | 4.7870 | | 5.0376 | 1.6 | 2000 | 4.8272 | | 4.9622 | 2.0 | 2500 | 4.8460 | | 4.913 | 2.4 | 3000 | 4.7859 | | 4.9216 | 2.8 | 3500 | 4.7816 | | 4.8176 | 3.2 | 4000 | 4.7040 | | 4.7735 | 3.6 | 4500 | 4.6986 | | 4.7892 | 4.0 | 5000 | 4.6846 | | 4.718 | 4.4 | 5500 | 4.6943 | | 4.6564 | 4.8 | 6000 | 4.6461 | | 4.6593 | 5.2 | 6500 | 4.6011 | | 4.6384 | 5.6 | 7000 | 4.7286 | | 4.5704 | 6.0 | 7500 | 4.7027 | | 4.478 | 6.4 | 8000 | 4.6472 | ### Framework versions - Transformers 4.26.0.dev0 - Pytorch 1.13.0+cu116 - Datasets 2.8.1.dev0 - Tokenizers 0.13.2