End of training
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: gerulata/slovakbert
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tags:
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- generated_from_trainer
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model-index:
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- name: lease_sk_ner_emph_bi
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# lease_sk_ner_emph_bi
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This model is a fine-tuned version of [gerulata/slovakbert](https://huggingface.co/gerulata/slovakbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0441
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| No log | 1.0 | 1334 | 0.0253 |
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| 0.0506 | 2.0 | 2668 | 0.0222 |
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| 0.0102 | 3.0 | 4002 | 0.0250 |
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| 0.0102 | 4.0 | 5336 | 0.0271 |
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| 0.0062 | 5.0 | 6670 | 0.0276 |
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| 0.0047 | 6.0 | 8004 | 0.0287 |
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| 0.0047 | 7.0 | 9338 | 0.0333 |
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| 0.0033 | 8.0 | 10672 | 0.0333 |
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| 0.0027 | 9.0 | 12006 | 0.0345 |
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| 0.0027 | 10.0 | 13340 | 0.0387 |
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| 0.0019 | 11.0 | 14674 | 0.0374 |
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| 0.0016 | 12.0 | 16008 | 0.0405 |
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| 0.0016 | 13.0 | 17342 | 0.0418 |
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| 0.0012 | 14.0 | 18676 | 0.0440 |
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| 0.001 | 15.0 | 20010 | 0.0441 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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model.safetensors
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