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+---
+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