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yehoony/
koelectra

Name: koelectra
Availability: InStock

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koelectra

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

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	100	0.6917	0.5825
No log	2.0	200	0.6786	0.575
No log	3.0	300	0.6044	0.7275
No log	4.0	400	0.5657	0.7475
0.6349	5.0	500	0.5500	0.7375
0.6349	6.0	600	0.5326	0.75
0.6349	7.0	700	0.5591	0.725
0.6349	8.0	800	0.5266	0.745
0.6349	9.0	900	0.5400	0.74
0.4565	10.0	1000	0.5305	0.74