---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-IndoSQuADv2_1691593432-16-2e-06-0.01-5
  results: []
---

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# RoBERTa-IndoSQuADv2_1691593432-16-2e-06-0.01-5

This model is a fine-tuned version of [roberta-base](https://huggingface.co./roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2352

## 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-06
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.9255        | 1.0   | 8145  | 2.5500          |
| 2.3227        | 2.0   | 16290 | 2.3388          |
| 2.1706        | 3.0   | 24435 | 2.2679          |
| 2.0939        | 4.0   | 32580 | 2.2414          |
| 2.0546        | 5.0   | 40725 | 2.2352          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3