models228
This model is a fine-tuned version of IlyaGusev/rubert_ext_sum_gazeta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2456
- Precision: 0.7118
- Recall: 0.7530
- F1: 0.7319
- Accuracy: 0.9205
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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 172 | 0.2966 | 0.6210 | 0.6494 | 0.6349 | 0.9149 |
| No log | 2.0 | 344 | 0.2456 | 0.7118 | 0.7530 | 0.7319 | 0.9205 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3