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--- |
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license: mit |
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base_model: megagonlabs/transformers-ud-japanese-electra-base-ginza-520 |
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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-ginza-based-ja-fc-classifier |
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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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# electra-ginza-based-ja-fc-classifier |
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This model is a fine-tuned version of [megagonlabs/transformers-ud-japanese-electra-base-ginza-520](https://huggingface.co/megagonlabs/transformers-ud-japanese-electra-base-ginza-520) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2376 |
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- Accuracy: 0.9258 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4988 | 1.0 | 1223 | 0.3910 | 0.8418 | |
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| 0.3011 | 2.0 | 2446 | 0.2376 | 0.9258 | |
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| 0.1658 | 3.0 | 3669 | 0.2649 | 0.9336 | |
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### Framework versions |
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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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