---
license: mit
base_model: indobenchmark/indobert-base-p1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: indobert-finetuned-sentiment-happiness-index
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# indobert-finetuned-sentiment-happiness-index

This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4822
- Accuracy: 0.7983

## 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-05
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 270  | 0.5354          | 0.7835   |
| 0.532         | 2.0   | 540  | 0.6245          | 0.7567   |
| 0.532         | 3.0   | 810  | 0.7406          | 0.7826   |
| 0.1836        | 4.0   | 1080 | 1.0813          | 0.7919   |
| 0.1836        | 5.0   | 1350 | 1.2524          | 0.7891   |
| 0.0446        | 6.0   | 1620 | 1.3158          | 0.8039   |
| 0.0446        | 7.0   | 1890 | 1.4308          | 0.7965   |
| 0.0152        | 8.0   | 2160 | 1.4485          | 0.7974   |
| 0.0152        | 9.0   | 2430 | 1.4915          | 0.8030   |
| 0.0054        | 10.0  | 2700 | 1.4822          | 0.7983   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3