| license: mit | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: fias_NER | |
| 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. --> | |
| # fias_NER | |
| This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.0011 | |
| - eval_precision: 0.9993 | |
| - eval_recall: 0.9994 | |
| - eval_f1: 0.9994 | |
| - eval_accuracy: 0.9996 | |
| - eval_runtime: 783.8012 | |
| - eval_samples_per_second: 2551.667 | |
| - eval_steps_per_second: 19.935 | |
| - epoch: 1.12 | |
| - step: 1200000 | |
| ## 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: 128 | |
| - eval_batch_size: 128 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 2000000 | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.13.0 | |
| - Tokenizers 0.13.3 | |