pytorch tensorboard bert text-classification transformers generated_from_trainer license:mit model-index
---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FND
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FND

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5379
- Accuracy: 0.8029

## 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: 5.6593083676315244e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 25
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 85   | 0.6054          | 0.6824   |
| No log        | 2.0   | 170  | 0.6038          | 0.7324   |
| No log        | 3.0   | 255  | 0.7082          | 0.7      |
| No log        | 4.0   | 340  | 0.5530          | 0.7824   |
| No log        | 5.0   | 425  | 0.5379          | 0.8029   |


### Framework versions

- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
