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text_to_subfunction_v7
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9393
- F1: 0.4657
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 3.0953 | 1.0 | 4995 | 2.9647 | 0.1986 |
| 2.2212 | 2.0 | 9990 | 2.3916 | 0.3411 |
| 1.7716 | 3.0 | 14985 | 2.1448 | 0.3938 |
| 1.4083 | 4.0 | 19980 | 2.0778 | 0.4358 |
| 1.1092 | 5.0 | 24975 | 2.0726 | 0.4608 |
| 0.8501 | 6.0 | 29970 | 2.1499 | 0.4652 |
| 0.5973 | 7.0 | 34965 | 2.2423 | 0.4586 |
| 0.4056 | 8.0 | 39960 | 2.3822 | 0.4605 |
| 0.3375 | 9.0 | 44955 | 2.5109 | 0.4564 |
| 0.2773 | 10.0 | 49950 | 2.6337 | 0.4590 |
| 0.2134 | 11.0 | 54945 | 2.7191 | 0.4698 |
| 0.1712 | 12.0 | 59940 | 2.8171 | 0.4634 |
| 0.1061 | 13.0 | 64935 | 2.8741 | 0.4687 |
| 0.1533 | 14.0 | 69930 | 2.9266 | 0.4665 |
| 0.0837 | 15.0 | 74925 | 2.9393 | 0.4657 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.1.0.dev20230414+cu117
- Datasets 2.9.0
- Tokenizers 0.13.3
