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rugpt3small_based_on_gpt2-tat_model
This model is a fine-tuned version of sberbank-ai/rugpt3small_based_on_gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4002
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 | 480 | 3.4394 |
| 3.6184 | 2.0 | 960 | 3.4045 |
| 3.3493 | 3.0 | 1440 | 3.4002 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
