| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad_v2 | |
| model-index: | |
| - name: xlm-roberta-large-finetuned-squad-v2_15102021 | |
| 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-squad-v2_15102021 | |
| This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the squad_v2 dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 17.5548 | |
| - eval_runtime: 168.7788 | |
| - eval_samples_per_second: 23.368 | |
| - eval_steps_per_second: 5.842 | |
| - epoch: 8.0 | |
| - step: 7600 | |
| ## 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 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10 | |
| ### Framework versions | |
| - Transformers 4.11.3 | |
| - Pytorch 1.9.0+cu111 | |
| - Datasets 1.13.1 | |
| - Tokenizers 0.10.3 | |