ruBert-base-finetuned-mk
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: 2.3229
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8538 | 1.0 | 6 | 2.5675 |
| 2.6341 | 2.0 | 12 | 2.2714 |
| 2.5163 | 3.0 | 18 | 2.4312 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Anya-hse/ruBert-base-finetuned-mk
Base model
ai-forever/ruBert-base