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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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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: bert-uncased-AG-News |
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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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# bert-uncased-AG-News |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7208 |
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- Balanced Accuracy: 0.8720 |
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- Accuracy: 0.8667 |
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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: 0.0001 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:| |
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| 1.3219 | 1.0 | 25 | 0.8636 | 0.7889 | 0.79 | |
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| 0.6342 | 2.0 | 50 | 0.5691 | 0.8689 | 0.86 | |
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| 0.2991 | 3.0 | 75 | 0.5546 | 0.8602 | 0.86 | |
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| 0.1403 | 4.0 | 100 | 0.6923 | 0.8719 | 0.8667 | |
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| 0.0561 | 5.0 | 125 | 0.7208 | 0.8720 | 0.8667 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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