transformers pytorch electra generated_from_trainer base_model:megagonlabs/transformers-ud-japanese-electra-base-ginza-520 license:mit endpoints_compatible region:us
---
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
