deep-pavlov-framebank-5epochs-2
This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4205
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4667 | 1.0 | 2827 | 1.3508 |
| 0.3114 | 2.0 | 5654 | 1.5341 |
| 0.1941 | 3.0 | 8481 | 1.8772 |
| 0.1185 | 4.0 | 11308 | 2.1496 |
| 0.0795 | 5.0 | 14135 | 2.4205 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2.dev0
- Tokenizers 0.12.1