xlm-roberta-base-finetuned-panx-ko-ja

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2693
• F1: 0.7843

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: 24
• eval_batch_size: 24
• seed: 42
• 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	F1
0.5092	1.0	715	0.3105	0.7241
0.2915	2.0	1430	0.2836	0.7557
0.2122	3.0	2145	0.2693	0.7843

Framework versions

• Transformers 4.33.1
• Pytorch 2.2.0a0+81ea7a4
• Datasets 2.17.1
• Tokenizers 0.13.3