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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: 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: 0.6931
- Accuracy: 0.47
- F1: 0.4533
## 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: 0.003
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.698 | 1.0 | 50 | 0.6931 | 0.47 | 0.4606 |
| 0.6955 | 2.0 | 100 | 0.6931 | 0.5 | 0.4861 |
| 0.7099 | 3.0 | 150 | 0.6931 | 0.49 | 0.4838 |
| 0.6962 | 4.0 | 200 | 0.6931 | 0.58 | 0.5713 |
| 0.702 | 5.0 | 250 | 0.6931 | 0.44 | 0.4409 |
| 0.6869 | 6.0 | 300 | 0.6931 | 0.54 | 0.5332 |
| 0.7083 | 7.0 | 350 | 0.6931 | 0.57 | 0.5564 |
| 0.6959 | 8.0 | 400 | 0.6931 | 0.47 | 0.4533 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |