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ruBert-base-finetuned
This model is a fine-tuned version of sberbank-ai/ruBert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8911
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3205 | 1.0 | 625 | 1.0255 |
| 1.0666 | 2.0 | 1250 | 0.9373 |
| 0.9997 | 3.0 | 1875 | 0.9103 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
