metadata
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indo_sentiment_indobertweet
results: []
indo_sentiment_indobertweet
This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1403
- Accuracy: 0.9700
- Precision: 0.9679
- Recall: 0.9669
- F1: 0.9674
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1761 | 1.0 | 248 | 0.1332 | 0.9558 | 0.9535 | 0.9506 | 0.9520 |
| 0.0754 | 2.0 | 496 | 0.1119 | 0.9664 | 0.9636 | 0.9636 | 0.9636 |
| 0.0243 | 3.0 | 744 | 0.1403 | 0.9700 | 0.9679 | 0.9669 | 0.9674 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1