metadata
license: mit
base_model: megagonlabs/transformers-ud-japanese-electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-based-ja-fc-classifier
results: []
electra-based-ja-fc-classifier
This model is a fine-tuned version of megagonlabs/transformers-ud-japanese-electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1861
- Accuracy: 0.9414
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 |
|---|---|---|---|---|
| 0.3593 | 1.0 | 1223 | 0.2104 | 0.9160 |
| 0.2137 | 2.0 | 2446 | 0.1861 | 0.9414 |
| 0.1187 | 3.0 | 3669 | 0.2379 | 0.9355 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0