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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_cb_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_cb_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: 1.4656
- Accuracy: 0.6364
- F1: 0.5977
## 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 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.7547 | 3.5714 | 50 | 1.5113 | 0.3182 | 0.1536 |
| 0.5654 | 7.1429 | 100 | 0.9706 | 0.6364 | 0.5977 |
| 0.2549 | 10.7143 | 150 | 1.2822 | 0.5909 | 0.5481 |
| 0.1062 | 14.2857 | 200 | 1.4263 | 0.5 | 0.4606 |
| 0.0407 | 17.8571 | 250 | 1.2224 | 0.6364 | 0.5977 |
| 0.0233 | 21.4286 | 300 | 1.4225 | 0.5909 | 0.5545 |
| 0.0189 | 25.0 | 350 | 1.4185 | 0.6364 | 0.5977 |
| 0.0173 | 28.5714 | 400 | 1.4656 | 0.6364 | 0.5977 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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