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rut5_base_sum_gazeta-finetuned
This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1124
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.9877 | 1.0 | 12 | 2.3994 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.5964 | 2.0 | 24 | 2.2629 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.3873 | 3.0 | 36 | 2.2001 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.2627 | 4.0 | 48 | 2.1574 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.1536 | 5.0 | 60 | 2.1319 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.0937 | 6.0 | 72 | 2.1214 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.9039 | 7.0 | 84 | 2.1149 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1.9739 | 8.0 | 96 | 2.1124 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
