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End of training

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  1. README.md +63 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: megagonlabs/transformers-ud-japanese-electra-base-discriminator
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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: electra-based-ja-fc-classifier
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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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+ # electra-based-ja-fc-classifier
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+
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+ This model is a fine-tuned version of [megagonlabs/transformers-ud-japanese-electra-base-discriminator](https://huggingface.co/megagonlabs/transformers-ud-japanese-electra-base-discriminator) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1861
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+ - Accuracy: 0.9414
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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: 3.38340974405913e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: tpu
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.3593 | 1.0 | 1223 | 0.2104 | 0.9160 |
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+ | 0.2137 | 2.0 | 2446 | 0.1861 | 0.9414 |
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+ | 0.1187 | 3.0 | 3669 | 0.2379 | 0.9355 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.0
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