| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad | |
| model-index: | |
| - name: deberta-base-squad | |
| 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. --> | |
| # deberta-base-squad | |
| This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the squad dataset. | |
| ## 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: 6e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 1984 | |
| - distributed_type: IPU | |
| - gradient_accumulation_steps: 32 | |
| - total_train_batch_size: 128 | |
| - total_eval_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.25 | |
| - num_epochs: 2.0 | |
| - training precision: Mixed Precision | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.19.0.dev0 | |
| - Pytorch 1.10.0+cpu | |
| - Datasets 2.0.0 | |
| - Tokenizers 0.11.6 | |