t5-russian-spell
This model is a fine-tuned version of UrukHan/t5-russian-spell on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.9129
- Rouge1: 0.1767
- Rouge2: 0.0
- Rougel: 0.1783
- Rougelsum: 0.1774
- Gen Len: 198.0413
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: 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 7.8172 | 9.01 | 5000 | 7.9129 | 0.1767 | 0.0 | 0.1783 | 0.1774 | 198.0413 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 8
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Maxinstellar/t5-russian-spell
Base model
UrukHan/t5-russian-spell