---
library_name: transformers
base_model: dkleczek/bert-base-polish-cased-v1
tags:
- generated_from_trainer
model-index:
- name: smaug_part1
  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. -->

# smaug_part1

This model is a fine-tuned version of [dkleczek/bert-base-polish-cased-v1](https://huggingface.co/dkleczek/bert-base-polish-cased-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.027         | 1.0   | 599  | 0.0003          |
| 0.0052        | 2.0   | 1198 | 0.0001          |
| 0.0026        | 3.0   | 1797 | 0.0000          |
| 0.0011        | 4.0   | 2396 | 0.0000          |
| 0.0           | 5.0   | 2995 | 0.0000          |
| 0.0           | 6.0   | 3594 | 0.0000          |
| 0.0           | 7.0   | 4193 | 0.0000          |
| 0.0           | 8.0   | 4792 | 0.0000          |
| 0.0           | 9.0   | 5391 | 0.0000          |
| 0.0           | 10.0  | 5990 | 0.0000          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3