| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: namematch_classifier | |
| 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. --> | |
| # namematch_classifier | |
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.2583 | |
| - eval_accuracy: 0.9022 | |
| - eval_f1: 0.9015 | |
| - eval_precision: 0.9831 | |
| - eval_recall: 0.8198 | |
| - eval_CM: [[5443, 79], [1009, 4589]] | |
| - eval_runtime: 73.3191 | |
| - eval_samples_per_second: 151.666 | |
| - eval_steps_per_second: 2.373 | |
| - epoch: 6.66 | |
| - step: 8800 | |
| ## 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: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 100 | |
| ### Framework versions | |
| - Transformers 4.27.4 | |
| - Pytorch 2.0.0+cu118 | |
| - Tokenizers 0.13.3 | |