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---
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
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