zorbahouse
/

roberta-base-klue-ynat-classification

Generated from Trainer

Model card Files Files and versions Metrics Training metrics Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

results

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

Loss: 0.1267
Accuracy: 0.965

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5408	1.0	1250	0.1549	0.955

Framework versions

Transformers 4.40.1
Pytorch 2.3.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Downloads last month: 0

Safetensors

Model size

111M params

Tensor type

F32

·

Inference API

Unable to determine this model's library. Check the docs .

Model tree for zorbahouse/roberta-base-klue-ynat-classification

Base model

klue/roberta-base

Finetuned

(116)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard