metadata

tags:
  - generated_from_trainer
datasets:
  - klue
metrics:
  - f1
model-index:
  - name: klue_ynat_roberta_base_model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: klue
          type: klue
          config: ynat
          split: validation
          args: ynat
        metrics:
          - name: F1
            type: f1
            value: 0.872014500465787

klue_ynat_roberta_base_model

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

Loss: 0.3747
F1: 0.8720

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: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	179	0.4838	0.8444
No log	2.0	358	0.3848	0.8659
0.4203	3.0	537	0.3778	0.8690
0.4203	4.0	716	0.3762	0.8702
0.4203	5.0	895	0.3747	0.8720

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3