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

# loha_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: 2.2669
- 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: 0.002
- 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.8405        | 3.5714  | 50   | 2.1784          | 0.3182   | 0.1536 |
| 0.7138        | 7.1429  | 100  | 1.1353          | 0.5909   | 0.5636 |
| 0.1766        | 10.7143 | 150  | 3.0435          | 0.5      | 0.4690 |
| 0.0445        | 14.2857 | 200  | 2.1500          | 0.5909   | 0.5545 |
| 0.0038        | 17.8571 | 250  | 1.7987          | 0.6364   | 0.5916 |
| 0.001         | 21.4286 | 300  | 2.2097          | 0.6364   | 0.5977 |
| 0.001         | 25.0    | 350  | 2.2794          | 0.6364   | 0.5977 |
| 0.0016        | 28.5714 | 400  | 2.2669          | 0.6364   | 0.5977 |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1