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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 [UrukHan/t5-russian-spell](https://huggingface.co/UrukHan/t5-russian-spell) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2866
- eval_rouge1: 48.7916
- eval_rouge2: 30.2551
- eval_rougeL: 48.686
- eval_rougeLsum: 48.7615
- eval_gen_len: 60.885
- eval_runtime: 409.0196
- eval_samples_per_second: 2.934
- eval_steps_per_second: 0.367
- epoch: 0.08
- step: 12000
## 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: 5e-05
- 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
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