| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: my_awesome_wnut_model | |
| 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. --> | |
| # my_awesome_wnut_model | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.0968 | |
| - eval_overall_precision: 0.7090 | |
| - eval_overall_recall: 0.7537 | |
| - eval_overall_f1: 0.7306 | |
| - eval_overall_accuracy: 0.9731 | |
| - eval_HumanProd_f1: 0.3733 | |
| - eval_LOC_f1: 0.7596 | |
| - eval_ORG_f1: 0.5874 | |
| - eval_PER_f1: 0.7607 | |
| - eval_runtime: 123.6596 | |
| - eval_samples_per_second: 19.804 | |
| - eval_steps_per_second: 1.245 | |
| - epoch: 2.0 | |
| - step: 1226 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cpu | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |