---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: gemashsentiment
  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. -->

# gemashsentiment

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4131
- Accuracy: 0.925
- Precision: 0.9320
- Recall: 0.9231
- F1: 0.9271

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4966        | 1.0   | 169  | 0.2953          | 0.9017   | 0.9150    | 0.8870 | 0.8987 |
| 0.1633        | 2.0   | 338  | 0.2859          | 0.92     | 0.9322    | 0.9151 | 0.9226 |
| 0.0495        | 3.0   | 507  | 0.3495          | 0.9317   | 0.9349    | 0.9289 | 0.9317 |
| 0.013         | 4.0   | 676  | 0.4131          | 0.925    | 0.9320    | 0.9231 | 0.9271 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1