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
- Downloads last month
- 15
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for XvKuoMing/t5-caser
Base model
ai-forever/ruT5-base