t5-caser
This model is a fine-tuned version of ai-forever/ruT5-base on an ru_syntagrus dataset. It achieves the following results on the evaluation set:
- Loss: 0.0431
Model description
The model aim is to paraphrase sentence made of lemmas into sentence with correct cases (in Russian)
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0997 | 1.0 | 2441 | 0.0468 |
| 0.0778 | 2.0 | 4882 | 0.0431 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for XvKuoMing/t5-caser
Base model
ai-forever/ruT5-base