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--- |
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license: cc-by-sa-4.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: SloBertAA_Top100_WithOOC_NEW |
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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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# SloBertAA_Top100_WithOOC_NEW |
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This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1313 |
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- Accuracy: 0.7443 |
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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: 12 |
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- eval_batch_size: 12 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 1.4068 | 1.0 | 45122 | 1.3504 | 0.6585 | |
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| 1.1074 | 2.0 | 90244 | 1.1492 | 0.7063 | |
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| 0.8661 | 3.0 | 135366 | 1.1005 | 0.7264 | |
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| 0.5962 | 4.0 | 180488 | 1.0983 | 0.7406 | |
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| 0.5001 | 5.0 | 225610 | 1.1313 | 0.7443 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.8.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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