---
license: cc-by-sa-4.0
library_name: peft
tags:
- generated_from_trainer
base_model: EMBEDDIA/sloberta
metrics:
- accuracy
- f1
model-index:
- name: lora_fine_tuned_copa_sloberta
  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. -->

# lora_fine_tuned_copa_sloberta

This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6924
- Accuracy: 0.61
- F1: 0.6110

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6918        | 1.0   | 50   | 0.6925          | 0.59     | 0.5909 |
| 0.6913        | 2.0   | 100  | 0.6929          | 0.57     | 0.5709 |
| 0.6927        | 3.0   | 150  | 0.6925          | 0.56     | 0.5607 |
| 0.6931        | 4.0   | 200  | 0.6926          | 0.56     | 0.5607 |
| 0.6932        | 5.0   | 250  | 0.6925          | 0.59     | 0.5910 |
| 0.6942        | 6.0   | 300  | 0.6924          | 0.6      | 0.6010 |
| 0.6958        | 7.0   | 350  | 0.6924          | 0.61     | 0.6110 |
| 0.6941        | 8.0   | 400  | 0.6924          | 0.61     | 0.6110 |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1