| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| base_model: cointegrated/rubert-tiny2 |
| model-index: |
| - name: text_to_function_v2 |
| 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_function_v2 |
| |
| 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: 1.0580 |
| - F1: 0.7937 |
| |
| ## 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: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | 0.9053 | 1.0 | 2925 | 0.8585 | 0.7410 | |
| | 0.6403 | 2.0 | 5850 | 0.8756 | 0.7693 | |
| | 0.4261 | 3.0 | 8775 | 0.9378 | 0.7872 | |
| | 0.3379 | 4.0 | 11700 | 1.0294 | 0.7925 | |
| | 0.2362 | 5.0 | 14625 | 1.0580 | 0.7937 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.27.1 |
| - Pytorch 2.1.0.dev20230414+cu117 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.3 |
| |
