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---
license: cc-by-sa-4.0
base_model: EMBEDDIA/sloberta
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: 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. -->
# 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: 0.48
- F1: 0.4615
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.7241 | 1.0 | 50 | 0.6931 | 0.52 | 0.5188 |
| 0.7129 | 2.0 | 100 | 0.6931 | 0.42 | 0.4167 |
| 0.7115 | 3.0 | 150 | 0.6931 | 0.46 | 0.4547 |
| 0.7135 | 4.0 | 200 | 0.6931 | 0.54 | 0.5304 |
| 0.7109 | 5.0 | 250 | 0.6931 | 0.51 | 0.5013 |
| 0.7121 | 6.0 | 300 | 0.6931 | 0.5 | 0.4670 |
| 0.7224 | 7.0 | 350 | 0.6931 | 0.51 | 0.4982 |
| 0.7109 | 8.0 | 400 | 0.6931 | 0.48 | 0.4615 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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