---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: text_to_function_v2
  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_function_v2

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: 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