dorotory
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results

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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: 0.5122
Accuracy: 0.846

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
0.5479	1.0	1250	0.5629	0.832

Framework versions

Transformers 4.40.1
Pytorch 2.3.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

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Safetensors

Model size

111M params

Tensor type

F32

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Model tree for dorotory/results

Base model

klue/roberta-base

Finetuned

(103)

this model

Evaluation results

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