xlm-roberta-base-finetuned-ko-tjdrms – AI Model by seungkim1313 | AlphaNeural AI

You can deploy this model and start earning money today!

seungkim1313/
xlm-roberta-base-finetuned-ko-tjdrms

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base-finetuned-ko-tjdrms

This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:

Loss: 0.3122
F1: 0.8975

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.383	1.0	834	0.2389	0.8459
0.2142	2.0	1668	0.2235	0.8530
0.1524	3.0	2502	0.1992	0.8794
0.1101	4.0	3336	0.2284	0.8767
0.0816	5.0	4170	0.2290	0.8854
0.0592	6.0	5004	0.2512	0.8876
0.0417	7.0	5838	0.2705	0.8891
0.0293	8.0	6672	0.2942	0.8924
0.0206	9.0	7506	0.2961	0.8952
0.0142	10.0	8340	0.3122	0.8975

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3