| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: text_to_subfunction_v7 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # text_to_subfunction_v7 |
| |
| This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/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 |
| |
