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--- |
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license: apache-2.0 |
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base_model: studio-ousia/luke-base |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: luke-base-paper-setup |
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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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# luke-base-paper-setup |
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This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co./studio-ousia/luke-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3800 |
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- Accuracy: 0.8426 |
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- Precision: 0.8465 |
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- Recall: 0.8370 |
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- F1: 0.8417 |
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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-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.5192 | 1.0 | 1074 | 0.4464 | 0.8063 | 0.8263 | 0.7756 | 0.8001 | |
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| 0.3708 | 2.0 | 2148 | 0.3782 | 0.8315 | 0.8365 | 0.8241 | 0.8303 | |
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| 0.3191 | 3.0 | 3222 | 0.3800 | 0.8426 | 0.8465 | 0.8370 | 0.8417 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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