rugpt3small_based_on_gpt2-finetuned_teachers_quotes
This model is a fine-tuned version of sberbank-ai/rugpt3small_based_on_gpt2 on the sql dataset. It achieves the following results on the evaluation set:
- Loss: 2.9443
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: 8
- eval_batch_size: 8
- 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 |
---|---|---|---|
No log | 1.0 | 310 | 2.9793 |
3.1099 | 2.0 | 620 | 2.9492 |
3.1099 | 3.0 | 930 | 2.9443 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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