transformers pytorch bert fill-mask generated_from_trainer base_model:indolem/indobert-base-uncased license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: autocomplete_model
  results: []
---

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# autocomplete_model

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2526

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 17   | 3.2168          |
| No log        | 2.0   | 34   | 3.1874          |
| No log        | 3.0   | 51   | 3.2537          |
| No log        | 4.0   | 68   | 3.2260          |
| No log        | 5.0   | 85   | 3.1759          |
| 3.4421        | 6.0   | 102  | 3.1777          |
| 3.4421        | 7.0   | 119  | 3.2093          |
| 3.4421        | 8.0   | 136  | 3.2277          |
| 3.4421        | 9.0   | 153  | 3.1694          |
| 3.4421        | 10.0  | 170  | 3.1333          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
