my_awesome_qa_model
This model is a fine-tuned version of DeepPavlov/rubert-base-cased-conversational on the sberquad dataset. It achieves the following results on the evaluation set:
- Loss: 4.3730
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 2.4718 |
| 0.9921 | 2.0 | 500 | 2.7453 |
| 0.9921 | 3.0 | 750 | 2.9411 |
| 0.5693 | 4.0 | 1000 | 3.3692 |
| 0.5693 | 5.0 | 1250 | 3.4130 |
| 0.3076 | 6.0 | 1500 | 3.5991 |
| 0.3076 | 7.0 | 1750 | 4.0631 |
| 0.1596 | 8.0 | 2000 | 4.1718 |
| 0.1596 | 9.0 | 2250 | 4.3437 |
| 0.0984 | 10.0 | 2500 | 4.3730 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3