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

# prompt_fine_tuned_rte_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: 0.6867
- Accuracy: 0.5517
- F1: 0.5322

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.699         | 1.7241  | 50   | 0.6894          | 0.4483   | 0.3898 |
| 0.6895        | 3.4483  | 100  | 0.6836          | 0.6552   | 0.6527 |
| 0.6939        | 5.1724  | 150  | 0.6880          | 0.4483   | 0.3898 |
| 0.6937        | 6.8966  | 200  | 0.6905          | 0.4483   | 0.3898 |
| 0.6889        | 8.6207  | 250  | 0.6886          | 0.5172   | 0.4877 |
| 0.688         | 10.3448 | 300  | 0.6882          | 0.5172   | 0.4877 |
| 0.6864        | 12.0690 | 350  | 0.6869          | 0.5517   | 0.5322 |
| 0.6835        | 13.7931 | 400  | 0.6867          | 0.5517   | 0.5322 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1