| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: t5-russian-spell | |
| 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. --> | |
| # t5-russian-spell | |
| This model is a fine-tuned version of [sberbank-ai/ruT5-base](https://huggingface.co/sberbank-ai/ruT5-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.5568 | |
| - eval_rouge1: 41.1665 | |
| - eval_rouge2: 18.3827 | |
| - eval_rougeL: 41.2147 | |
| - eval_rougeLsum: 41.1122 | |
| - eval_gen_len: 62.512 | |
| - eval_runtime: 183.2248 | |
| - eval_samples_per_second: 2.729 | |
| - eval_steps_per_second: 0.344 | |
| - epoch: 0.4 | |
| - step: 5000 | |
| ## 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: 0.0002 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.17.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 2.0.0 | |
| - Tokenizers 0.11.6 | |