---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: text_to_subfunction_v7
  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_subfunction_v7

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: 2.9393
- F1: 0.4657

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.0953        | 1.0   | 4995  | 2.9647          | 0.1986 |
| 2.2212        | 2.0   | 9990  | 2.3916          | 0.3411 |
| 1.7716        | 3.0   | 14985 | 2.1448          | 0.3938 |
| 1.4083        | 4.0   | 19980 | 2.0778          | 0.4358 |
| 1.1092        | 5.0   | 24975 | 2.0726          | 0.4608 |
| 0.8501        | 6.0   | 29970 | 2.1499          | 0.4652 |
| 0.5973        | 7.0   | 34965 | 2.2423          | 0.4586 |
| 0.4056        | 8.0   | 39960 | 2.3822          | 0.4605 |
| 0.3375        | 9.0   | 44955 | 2.5109          | 0.4564 |
| 0.2773        | 10.0  | 49950 | 2.6337          | 0.4590 |
| 0.2134        | 11.0  | 54945 | 2.7191          | 0.4698 |
| 0.1712        | 12.0  | 59940 | 2.8171          | 0.4634 |
| 0.1061        | 13.0  | 64935 | 2.8741          | 0.4687 |
| 0.1533        | 14.0  | 69930 | 2.9266          | 0.4665 |
| 0.0837        | 15.0  | 74925 | 2.9393          | 0.4657 |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.1.0.dev20230414+cu117
- Datasets 2.9.0
- Tokenizers 0.13.3