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# klue_roberta_base_retrained-finetuned-mnli

This model is a fine-tuned version of [againeureka/klue_roberta_base_retrained-finetuned-mnli](https://huggingface.co/againeureka/klue_roberta_base_retrained-finetuned-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3463
- eval_accuracy: {'accuracy': 0.9350419796730004}
- eval_f1: {'f1': 0.9056567703321187}
- eval_runtime: 4.236
- eval_samples_per_second: 534.232
- eval_steps_per_second: 33.522
- step: 0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "klue_roberta_base_retrained-finetuned-mnli", "results": []}]}
transformers pytorch tensorboard roberta text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us