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--- |
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library_name: transformers |
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base_model: KBLab/bert-base-swedish-cased |
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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: educational_score_bert_swe |
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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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# educational_score_bert_swe |
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This model is a fine-tuned version of [KBLab/bert-base-swedish-cased](https://huggingface.co/KBLab/bert-base-swedish-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1310 |
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- Accuracy: 0.5562 |
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- F1 Weighted: 0.5335 |
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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: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:| |
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| 1.1786 | 1.0 | 2944 | 1.1540 | 0.5173 | 0.4826 | |
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| 1.0685 | 2.0 | 5888 | 1.1555 | 0.5182 | 0.4934 | |
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| 0.8442 | 3.0 | 8832 | 1.2582 | 0.5042 | 0.4928 | |
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### Framework versions |
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- Transformers 4.55.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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