---
license: mit
tags:
- generated_from_trainer
datasets:
- tydiqa
base_model: indolem/indobert-base-uncased
model-index:
- name: indobert-finetune-tydiqa-transfer-indoqa
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indobert-finetune-tydiqa-transfer-indoqa

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on the tydiqa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3210

## 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: 1e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.162         | 1.0   | 241  | 3.2961          |
| 1.9671        | 2.0   | 482  | 2.4509          |
| 1.457         | 3.0   | 723  | 2.3005          |
| 1.2349        | 4.0   | 964  | 2.2628          |
| 1.0681        | 5.0   | 1205 | 2.1436          |
| 0.9338        | 6.0   | 1446 | 2.1978          |
| 0.8523        | 7.0   | 1687 | 2.2780          |
| 0.7909        | 8.0   | 1928 | 2.2481          |
| 0.725         | 9.0   | 2169 | 2.2912          |
| 0.6977        | 10.0  | 2410 | 2.3210          |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1