---
license: apache-2.0
base_model: Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indonesian-emotion-distilbert-base-cased-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indonesian-emotion-distilbert-base-cased-finetuned

This model is a fine-tuned version of [Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion](https://huggingface.co/Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3309
- Accuracy: 0.9299
- Precision: 0.9299
- Recall: 0.9299
- F1: 0.9299

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2189        | 1.0   | 2747  | 0.2818          | 0.9179   | 0.9179    | 0.9179 | 0.9179 |
| 0.1878        | 2.0   | 5494  | 0.2642          | 0.9207   | 0.9207    | 0.9207 | 0.9207 |
| 0.1569        | 3.0   | 8241  | 0.2835          | 0.9273   | 0.9273    | 0.9273 | 0.9273 |
| 0.1379        | 4.0   | 10988 | 0.3153          | 0.9274   | 0.9274    | 0.9274 | 0.9274 |
| 0.1125        | 5.0   | 13735 | 0.3309          | 0.9299   | 0.9299    | 0.9299 | 0.9299 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2