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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: text_to_function_v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# text_to_function_v2 |
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This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0580 |
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- F1: 0.7937 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.9053 | 1.0 | 2925 | 0.8585 | 0.7410 | |
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| 0.6403 | 2.0 | 5850 | 0.8756 | 0.7693 | |
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| 0.4261 | 3.0 | 8775 | 0.9378 | 0.7872 | |
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| 0.3379 | 4.0 | 11700 | 1.0294 | 0.7925 | |
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| 0.2362 | 5.0 | 14625 | 1.0580 | 0.7937 | |
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### Framework versions |
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- Transformers 4.27.1 |
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- Pytorch 2.1.0.dev20230414+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.3 |
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