| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: gbert-large | |
| 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. --> | |
| # gbert-large | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.1519 | |
| ## 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: 2e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 2.7515 | 1.0 | 2481 | 2.5493 | | |
| | 2.5626 | 2.0 | 4962 | 2.4392 | | |
| | 2.4839 | 3.0 | 7443 | 2.3692 | | |
| | 2.4082 | 4.0 | 9924 | 2.3425 | | |
| | 2.3109 | 5.0 | 12405 | 2.2934 | | |
| | 2.2551 | 6.0 | 14886 | 2.2582 | | |
| | 2.2154 | 7.0 | 17367 | 2.2062 | | |
| | 2.2003 | 8.0 | 19848 | 2.1962 | | |
| | 2.1616 | 9.0 | 22329 | 2.1991 | | |
| | 2.1462 | 10.0 | 24810 | 2.1519 | | |
| ### Framework versions | |
| - Transformers 4.19.4 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |