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--- |
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library_name: transformers |
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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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model-index: |
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- name: bert-base-uncased-pp-20000-1e-06-16 |
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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-base-uncased-pp-20000-1e-06-16 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6773 |
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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: 1e-06 |
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- train_batch_size: 64 |
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- eval_batch_size: 1024 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6973 | 1.0 | 313 | 0.6919 | |
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| 0.693 | 2.0 | 626 | 0.6875 | |
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| 0.6907 | 3.0 | 939 | 0.6839 | |
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| 0.6867 | 4.0 | 1252 | 0.6815 | |
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| 0.6843 | 5.0 | 1565 | 0.6800 | |
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| 0.68 | 6.0 | 1878 | 0.6788 | |
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| 0.6785 | 7.0 | 2191 | 0.6782 | |
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| 0.6787 | 8.0 | 2504 | 0.6773 | |
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| 0.6746 | 9.0 | 2817 | 0.6773 | |
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| 0.6712 | 10.0 | 3130 | 0.6776 | |
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| 0.6695 | 11.0 | 3443 | 0.6778 | |
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| 0.6696 | 12.0 | 3756 | 0.6777 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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