| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - hi_ner_config | |
| model-index: | |
| - name: xlm-roberta-large-finetuned-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. --> | |
| # xlm-roberta-large-finetuned-ner | |
| This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the hi_ner_config dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.2329 | |
| - eval_precision: 0.7110 | |
| - eval_recall: 0.6854 | |
| - eval_f1: 0.6980 | |
| - eval_accuracy: 0.9332 | |
| - eval_runtime: 162.3478 | |
| - eval_samples_per_second: 66.9 | |
| - eval_steps_per_second: 16.73 | |
| - epoch: 2.64 | |
| - step: 50198 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 6 | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |