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---
license: mit
base_model: megagonlabs/transformers-ud-japanese-electra-base-ginza-520
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-ginza-based-ja-fc-classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# electra-ginza-based-ja-fc-classifier
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.
It achieves the following results on the evaluation set:
- Loss: 0.2376
- Accuracy: 0.9258
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3.38340974405913e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4988 | 1.0 | 1223 | 0.3910 | 0.8418 |
| 0.3011 | 2.0 | 2446 | 0.2376 | 0.9258 |
| 0.1658 | 3.0 | 3669 | 0.2649 | 0.9336 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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