sber-framebank-hidesize-1
This model is a fine-tuned version of sberbank-ai/sbert_large_nlu_ru on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4154
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.053 | 1.0 | 11307 | 1.0655 |
| 0.835 | 2.0 | 22614 | 1.2487 |
| 0.6054 | 3.0 | 33921 | 1.4154 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.3.dev0
- Tokenizers 0.12.1