---
library_name: transformers
license: mit
base_model: gerulata/slovakbert
tags:
- generated_from_trainer
model-index:
- name: lease_sk_ner_non_emph_bsci
  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. -->

# lease_sk_ner_non_emph_bsci

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: 0.0298

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1336 | 0.0279          |
| 0.0464        | 2.0   | 2672 | 0.0233          |
| 0.0099        | 3.0   | 4008 | 0.0251          |
| 0.0099        | 4.0   | 5344 | 0.0248          |
| 0.0059        | 5.0   | 6680 | 0.0270          |
| 0.0042        | 6.0   | 8016 | 0.0298          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1