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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-large-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-large-uncased-pp-100000-1e-06-32 |
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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-large-uncased-pp-100000-1e-06-32 |
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6700 |
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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: 128 |
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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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| 0.6974 | 1.0 | 782 | 0.6845 | |
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| 0.6902 | 2.0 | 1564 | 0.6790 | |
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| 0.6879 | 3.0 | 2346 | 0.6764 | |
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| 0.6848 | 4.0 | 3128 | 0.6740 | |
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| 0.6819 | 5.0 | 3910 | 0.6723 | |
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| 0.6801 | 6.0 | 4692 | 0.6717 | |
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| 0.6758 | 7.0 | 5474 | 0.6700 | |
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| 0.6726 | 8.0 | 6256 | 0.6703 | |
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| 0.6692 | 9.0 | 7038 | 0.6712 | |
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| 0.6662 | 10.0 | 7820 | 0.6714 | |
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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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