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README.md ADDED
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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: studio-ousia/luke-japanese-base-lite
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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: e7bb178e2bc7fc75cc2d4a0b5b3c9d0e
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+ results: []
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+ ---
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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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+
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+ # e7bb178e2bc7fc75cc2d4a0b5b3c9d0e
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+
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+ This model is a fine-tuned version of [studio-ousia/luke-japanese-base-lite](https://huggingface.co/studio-ousia/luke-japanese-base-lite) on the contemmcm/trec dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6920
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+ - Data Size: 1.0
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+ - Epoch Runtime: 16.0995
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+ - Accuracy: 0.8729
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+ - F1 Macro: 0.8785
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 32
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: constant
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+ - num_epochs: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|
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+ | No log | 0 | 0 | 1.8820 | 0 | 0.9626 | 0.0187 | 0.0061 |
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+ | No log | 1 | 170 | 1.6869 | 0.0078 | 1.3342 | 0.2771 | 0.0723 |
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+ | No log | 2 | 340 | 1.7056 | 0.0156 | 1.4156 | 0.2708 | 0.1529 |
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+ | No log | 3 | 510 | 1.5791 | 0.0312 | 1.7958 | 0.3417 | 0.1788 |
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+ | No log | 4 | 680 | 1.3250 | 0.0625 | 2.3804 | 0.5021 | 0.3641 |
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+ | 0.0874 | 5 | 850 | 1.1021 | 0.125 | 3.3720 | 0.6062 | 0.5003 |
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+ | 0.0874 | 6 | 1020 | 0.7524 | 0.25 | 5.2847 | 0.7375 | 0.6224 |
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+ | 0.8323 | 7 | 1190 | 0.6923 | 0.5 | 9.0704 | 0.7729 | 0.6255 |
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+ | 0.5854 | 8.0 | 1360 | 0.5847 | 1.0 | 16.9204 | 0.8083 | 0.8035 |
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+ | 0.4273 | 9.0 | 1530 | 0.3785 | 1.0 | 16.3701 | 0.8792 | 0.8733 |
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+ | 0.3629 | 10.0 | 1700 | 0.5134 | 1.0 | 17.0866 | 0.8479 | 0.8539 |
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+ | 0.2921 | 11.0 | 1870 | 0.3418 | 1.0 | 16.1928 | 0.8958 | 0.8992 |
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+ | 0.197 | 12.0 | 2040 | 0.4025 | 1.0 | 16.1521 | 0.8792 | 0.8866 |
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+ | 0.1747 | 13.0 | 2210 | 0.5681 | 1.0 | 16.7271 | 0.8708 | 0.8837 |
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+ | 0.1765 | 14.0 | 2380 | 0.4541 | 1.0 | 16.3702 | 0.8896 | 0.8954 |
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+ | 0.1162 | 15.0 | 2550 | 0.6920 | 1.0 | 16.0995 | 0.8729 | 0.8785 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.0
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 4.3.0
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+ - Tokenizers 0.22.1
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