| license: mit | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: 6_epochs_camembert | |
| 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. --> | |
| # 6_epochs_camembert | |
| This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.0932 | |
| - eval_overall_precision: 0.8072 | |
| - eval_overall_recall: 0.8431 | |
| - eval_overall_f1: 0.8248 | |
| - eval_overall_accuracy: 0.9778 | |
| - eval_ER_f1: 0.8520 | |
| - eval_OC_f1: 0.8029 | |
| - eval_umanProd_f1: 0.6333 | |
| - eval_runtime: 120.9649 | |
| - eval_samples_per_second: 20.246 | |
| - eval_steps_per_second: 1.273 | |
| - epoch: 6.0 | |
| - step: 3678 | |
| ## 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: 6 | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cpu | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |