metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
base_model: cointegrated/rubert-tiny2
model-index:
- name: text_to_function_v2
results: []
text_to_function_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: 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