---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ES_roberta_30_all
  results: []
---

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# ES_roberta_30_all

This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Exact Match: 93.3333
- F1: 95.1806
- Loss: 0.0749

## 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: 3e-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: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Exact Match | F1      | Validation Loss |
|:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
| No log        | 1.0   | 339  | 75.4167     | 83.9869 | 0.3639          |
| 0.8028        | 2.0   | 678  | 90.0        | 93.9167 | 0.1313          |
| 0.1661        | 3.0   | 1017 | 93.3333     | 95.1806 | 0.0749          |


### Framework versions

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