---
library_name: transformers
license: mit
base_model: gerulata/slovakbert
tags:
- generated_from_trainer
model-index:
- name: lease_sk_ner_emph_b_26_01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lease_sk_ner_emph_b_26_01

This model is a fine-tuned version of [gerulata/slovakbert](https://huggingface.co/gerulata/slovakbert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0256

## 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: 16
- eval_batch_size: 16
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1279        | 1.0   | 590  | 0.0425          |
| 0.0319        | 2.0   | 1180 | 0.0233          |
| 0.0191        | 3.0   | 1770 | 0.0226          |
| 0.0152        | 4.0   | 2360 | 0.0231          |
| 0.0115        | 5.0   | 2950 | 0.0256          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0