---
tags:
- generated_from_trainer
model-index:
- name: ES_roberta_30_korquad_finetune
  results: []
---

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# ES_roberta_30_korquad_finetune

This model is a fine-tuned version of [nlp04/ES_roberta_30_korquad_only](https://huggingface.co/nlp04/ES_roberta_30_korquad_only) on the None dataset.

## 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
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Exact Match | F1      | Validation Loss |
|:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
| No log        | 1.0   | 44   | 77.9167     | 86.0759 | 0.4502          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2