kc_electra_base_ner

This model is a fine-tuned version of monologg/koelectra-base-v3-discriminator on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3099
• F1: 0.7688

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	2532	0.3136	0.6236
No log	2.0	5064	0.2314	0.7118
No log	3.0	7596	0.2052	0.7407
No log	4.0	10128	0.2022	0.7541
No log	5.0	12660	0.2120	0.7571
No log	6.0	15192	0.2289	0.7562
No log	7.0	17724	0.2488	0.7575
No log	8.0	20256	0.2745	0.7645
No log	9.0	22788	0.2912	0.7677
No log	10.0	25320	0.3099	0.7688

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3