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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_Top20_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_Top20_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: 0.6466 |
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- Accuracy: 0.8652 |
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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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| 0.5746 | 1.0 | 23853 | 0.5500 | 0.8264 | |
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| 0.468 | 2.0 | 47706 | 0.4949 | 0.8481 | |
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| 0.3284 | 3.0 | 71559 | 0.5075 | 0.8560 | |
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| 0.2297 | 4.0 | 95412 | 0.5939 | 0.8601 | |
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| 0.1494 | 5.0 | 119265 | 0.6466 | 0.8652 | |
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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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