Alikhan Urumov
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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-russian-spell
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results: []
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# t5-russian-spell
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This model is a fine-tuned version of [sberbank-ai/ruT5-base](https://huggingface.co/sberbank-ai/ruT5-base) on the None dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.17.0
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---
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: t5-russian-spell
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results: []
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# t5-russian-spell
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This model is a fine-tuned version of [sberbank-ai/ruT5-base](https://huggingface.co/sberbank-ai/ruT5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4066
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- Rouge1: 44.2214
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- Rouge2: 21.688
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- Rougel: 44.2793
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- Rougelsum: 44.0781
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- Gen Len: 60.87
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 0.2958 | 0.2 | 2500 | 0.4393 | 43.9635 | 21.3982 | 43.9784 | 43.8423 | 61.338 |
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| 0.2427 | 0.4 | 5000 | 0.4460 | 44.609 | 22.1448 | 44.6314 | 44.4817 | 61.028 |
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| 0.5326 | 0.6 | 7500 | 0.4100 | 44.7071 | 21.9365 | 44.7491 | 44.5944 | 60.844 |
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| 0.5262 | 0.8 | 10000 | 0.4066 | 44.2214 | 21.688 | 44.2793 | 44.0781 | 60.87 |
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### Framework versions
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- Transformers 4.17.0
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