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text_to_subfunction_v3
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: 3.2521
- F1: 0.2335
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 |
---|---|---|---|---|
4.538 | 1.0 | 3330 | 4.4469 | 0.0626 |
3.7842 | 2.0 | 6660 | 3.8135 | 0.1243 |
3.3021 | 3.0 | 9990 | 3.4758 | 0.1942 |
3.0384 | 4.0 | 13320 | 3.3084 | 0.2238 |
2.843 | 5.0 | 16650 | 3.2521 | 0.2335 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.1.0.dev20230414+cu117
- Datasets 2.9.0
- Tokenizers 0.13.3