---
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_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. -->

# prompt_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: 3.3650
- Accuracy: 0.3182
- F1: 0.1536

## 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: 1
- eval_batch_size: 1
- 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     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 1.5028        | 0.4545 | 50   | 5.1956          | 0.3182   | 0.1591 |
| 2.1341        | 0.9091 | 100  | 4.9336          | 0.3182   | 0.1536 |
| 1.2666        | 1.3636 | 150  | 5.4769          | 0.3182   | 0.1536 |
| 1.7486        | 1.8182 | 200  | 4.4089          | 0.3182   | 0.1536 |
| 1.5321        | 2.2727 | 250  | 3.3006          | 0.4545   | 0.3895 |
| 1.296         | 2.7273 | 300  | 3.3196          | 0.3182   | 0.1536 |
| 1.3419        | 3.1818 | 350  | 3.1575          | 0.3182   | 0.1536 |
| 1.0893        | 3.6364 | 400  | 3.3650          | 0.3182   | 0.1536 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1