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---
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 |