lala2211

This model is a fine-tuned version of monologg/kobert on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0105
• Accuracy: 0.7093
• F1: 0.7131

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9365	1.0	1313	0.8612	0.6934	0.6953
0.5895	2.0	2626	0.9712	0.6871	0.6935
0.4931	3.0	3939	1.0105	0.7093	0.7131

Framework versions

• Transformers 4.30.1
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3