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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-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: bert-large-cased-binary-classification |
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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-cased-binary-classification |
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1857 |
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- Accuracy: 0.7548 |
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- F1 Macro: 0.7312 |
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- Precision Macro: 0.7580 |
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- Recall Macro: 0.7246 |
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- Auc: 0.7883 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:------:| |
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| No log | 1.0 | 79 | 0.6805 | 0.5987 | 0.3818 | 0.7987 | 0.5039 | 0.6079 | |
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| No log | 2.0 | 158 | 0.6254 | 0.6497 | 0.6490 | 0.6611 | 0.6655 | 0.7395 | |
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| No log | 3.0 | 237 | 0.6803 | 0.7166 | 0.6941 | 0.7087 | 0.6900 | 0.7563 | |
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| No log | 4.0 | 316 | 0.7502 | 0.7166 | 0.7106 | 0.7093 | 0.7153 | 0.7784 | |
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| No log | 5.0 | 395 | 1.1857 | 0.7548 | 0.7312 | 0.7580 | 0.7246 | 0.7883 | |
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| No log | 6.0 | 474 | 1.4866 | 0.7548 | 0.7312 | 0.7580 | 0.7246 | 0.7798 | |
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| 0.3165 | 7.0 | 553 | 1.5617 | 0.7420 | 0.7319 | 0.7322 | 0.7316 | 0.7829 | |
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| 0.3165 | 8.0 | 632 | 1.6626 | 0.7452 | 0.7311 | 0.7366 | 0.7280 | 0.7762 | |
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| 0.3165 | 9.0 | 711 | 1.7303 | 0.7611 | 0.7423 | 0.7595 | 0.7363 | 0.7768 | |
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| 0.3165 | 10.0 | 790 | 1.7471 | 0.7452 | 0.7294 | 0.7376 | 0.7255 | 0.7765 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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