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