| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| base_model: google/bert_uncased_L-2_H-128_A-2 | |
| model-index: | |
| - name: tiny-mlm-glue-rte | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # tiny-mlm-glue-rte | |
| 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: 3.7817 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 4.2975 | 1.6 | 500 | 3.7350 | | |
| | 4.2242 | 3.21 | 1000 | 3.9463 | | |
| | 4.1731 | 4.81 | 1500 | 3.7550 | | |
| | 4.088 | 6.41 | 2000 | 3.7817 | | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.8.1.dev0 | |
| - Tokenizers 0.13.2 | |