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--- |
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license: apache-2.0 |
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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: MSPoliBERT |
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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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# MSPoliBERT |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on tnwei/ms-newspapers dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3062 |
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- Accuracy: 0.9310 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 8 |
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- mixed_precision_training: Native AMP |
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### Label Mappings |
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- 0: Economic Concerns |
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- 1: Racial discrimination or polarization |
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- 2: Leadership weaknesses |
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- 3: Development and infrastructure gaps |
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- 4: Corruption |
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- 5: Political instablility |
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- 6: Socials and Public safety |
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- 7: Administration |
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- 8: Education |
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- 9: Religion issues |
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- 10: Environmental |
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- 11: Others |
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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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| 0.3888 | 1.0 | 1138 | 0.3691 | 0.9178 | |
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| 0.2981 | 2.0 | 2276 | 0.3425 | 0.9240 | |
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| 0.2073 | 3.0 | 3414 | 0.3062 | 0.9310 | |
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| 0.1642 | 4.0 | 4552 | 0.3301 | 0.9336 | |
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| 0.1175 | 5.0 | 5690 | 0.3387 | 0.9345 | |
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| 0.1201 | 6.0 | 6828 | 0.3298 | 0.9358 | |
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| 0.1078 | 7.0 | 7966 | 0.3751 | 0.9327 | |
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| 0.0945 | 8.0 | 9104 | 0.3503 | 0.9349 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.12.1 |
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