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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1051
- Accuracy: 0.9793
- Precision: 0.9734
- Recall: 0.9756
- F1: 0.9744
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 |
|---|---|---|---|---|---|---|---|
| 0.1424 | 1.0 | 365 | 0.1231 | 0.9679 | 0.9513 | 0.9763 | 0.9624 |
| 0.0436 | 2.0 | 730 | 0.0921 | 0.9757 | 0.9684 | 0.9729 | 0.9704 |
| 0.012 | 3.0 | 1095 | 0.1051 | 0.9793 | 0.9734 | 0.9756 | 0.9744 |
Framework versions
- Transformers 4.41.2
- Pytorch 1.13.1+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1