---
base_model: youscan/ukr-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ukr-roberta-base-finetuned-sarc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ukr-roberta-base-finetuned-sarc

This model is a fine-tuned version of [youscan/ukr-roberta-base](https://huggingface.co/youscan/ukr-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6150
- Accuracy: 0.7983
- Precision: 0.7945
- Recall: 0.8048
- F1: 0.7996
- Roc Auc: 0.7983

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 0.5014        | 1.0   | 538  | 0.4564          | 0.7844   | 0.8048    | 0.7509 | 0.7769 | 0.7844  |
| 0.4035        | 2.0   | 1076 | 0.4711          | 0.7918   | 0.8019    | 0.7751 | 0.7883 | 0.7918  |
| 0.314         | 3.0   | 1614 | 0.5327          | 0.7928   | 0.7933    | 0.7918 | 0.7926 | 0.7928  |
| 0.2431        | 4.0   | 2152 | 0.6150          | 0.7983   | 0.7945    | 0.8048 | 0.7996 | 0.7983  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2