---
library_name: transformers
license: apache-2.0
base_model: PKOBP/polish-roberta-8k
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: mwik-classifier-ext
  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. -->

# mwik-classifier-ext

This model is a fine-tuned version of [PKOBP/polish-roberta-8k](https://huggingface.co/PKOBP/polish-roberta-8k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1140
- Accuracy: 0.7371
- Precision: 0.7338
- Recall: 0.7371
- F1: 0.7276

## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 3.0764        | 1.0   | 64   | 1.6987          | 0.6210   | 0.5278    | 0.6210 | 0.5529 |
| 1.6258        | 2.0   | 128  | 1.3065          | 0.6845   | 0.6331    | 0.6845 | 0.6401 |
| 1.2496        | 3.0   | 192  | 1.1332          | 0.7113   | 0.6755    | 0.7113 | 0.6801 |
| 0.7597        | 4.0   | 256  | 1.0614          | 0.7435   | 0.7298    | 0.7435 | 0.7219 |
| 0.6033        | 5.0   | 320  | 1.0464          | 0.7565   | 0.7427    | 0.7565 | 0.7423 |
| 0.457         | 6.0   | 384  | 1.0559          | 0.7496   | 0.7399    | 0.7496 | 0.7383 |
| 0.3654        | 7.0   | 448  | 1.0642          | 0.7519   | 0.7393    | 0.7519 | 0.7395 |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1