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text_to_subfunction_v2
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: 3.9853
- F1: 0.1413
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 |
---|---|---|---|---|
5.1842 | 1.0 | 2525 | 5.0971 | 0.0271 |
4.5066 | 2.0 | 5050 | 4.5376 | 0.0676 |
4.0497 | 3.0 | 7575 | 4.2116 | 0.1053 |
3.7356 | 4.0 | 10100 | 4.0381 | 0.1318 |
3.6168 | 5.0 | 12625 | 3.9853 | 0.1413 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.1.0.dev20230414+cu117
- Datasets 2.9.0
- Tokenizers 0.13.3