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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_non_emph_bsci |
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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_non_emph_bsci |
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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: 0.0298 |
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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: 6 |
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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 | 1336 | 0.0279 | |
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| 0.0464 | 2.0 | 2672 | 0.0233 | |
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| 0.0099 | 3.0 | 4008 | 0.0251 | |
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| 0.0099 | 4.0 | 5344 | 0.0248 | |
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| 0.0059 | 5.0 | 6680 | 0.0270 | |
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| 0.0042 | 6.0 | 8016 | 0.0298 | |
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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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